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ronelgomes · 1 year
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BizSuite AI: Make $97-$197 A Day!
BizSuiteAi is a brand-new GPT 4 Powered 6-in-1 app bundle that lets you revolutionize your profits while saving thousands of dollars in monthly subscriptions.
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rajibperfection · 1 month
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A Review on Merlin Lifetime deals.
It’s hard to believe AI tools help you work smarter when you’re still stuck switching between tabs to get things done. (“Just call me an AI assistant juggler.”)
With so many AI models and features on the market, you’re using way too much tech to research and generate different types of content.
What if there was a Chrome extension packed with all the AI models you need to speed up your research and content creation process?
Overview:
Merlin is a Chrome browser extension and web app that gives you access to popular AI models to research, summarize, and write content.
      Best for: 
Alternatives to:Integrations:Main Features:
Educators
Marketers
Small businesses
Copy.ai
Grammarly
Jasper
Facebook
Gmail
LinkedIn
Outlook
Twitter
GDPR-compliant
AI
Pros and cons:
Chat with leading AI models, from one browser
With Merlin, you’ll receive access to prominent AI models, like GPT-4, Claude-3, Gemini 1.5, Leonardo, and others—all from your Chrome web browser.
No more moving between browser tabs! Use Merlin’s AI Chatbot on every websites you visit.
Use complex image-generation models to develop captivating brand storylines.
Plans & features
Deal terms & conditions
Lifetime access to Merlin
All future Pro Plan updates
If Plan name changes, deal will be mapped to the new Plan name with all accompanying updates
No codes, no stacking—just choose the plan that’s right for you
You must activate your license within 60 days of purchase
Ability to upgrade between 3 license tiers while the deal is available
Ability to downgrade between 3 license tiers within 60 days of purchase
GDPR compliant
Available for new Merlin users and returning AppSumo purchasers
Previous AppSumo customers who purchased Merlin can upgrade their license to increase their feature limits
1 Merlin query = 1 Chat GPT 3.5 query
Find all other AI model Query Standards here
All purchasers subject to Merlin’s Terms & Conditions
60 day money-back guarantee. Try it out for 2 months to make sure it’s right for you!
Features included in all plans
Chat with documents
Image generation
Chatbots
Chat with web pages
YouTube summarization
Blog summarization
Twitter, Gmail, Outlook, and LinkedIn FAB bars
LinkedIn Pro connect
Create from YouTube
Post in YouTube comments
AI personas
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birbs-in-space · 1 year
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woo I've got 3 of 4 crochet projects done! I'm taking a quick break before i return to the final one, but here's what I've been working on for the past month!
brief explanation: a friend of mine talked me into putting together some crochet stuff for the fiber arts part of my local fair! all submissions are due may 26th (including photography and art, which I'm going to figure out after I'm done with my crochet work) so I've been scrambling ever since finishing up with my dcrb stuff
the first of the projects is an elephant themed handbag. it's technically a bit of a collab with a friend of mine who came up with the initial idea and is going to be dealing with the interfacing and the lining, so I'm going to have to sort out how to represent that in the submission but
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here's what it will look like, minus the ears, tail, and feet. i photographed it before sending it off to her! i also made a trial bag ahead of time
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i also made this to trial run my design ideas. it's got some major flaws though i do actually like the head shape more lol even though I spent a LOT of time trying to make the final one work properly.
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project 2 is these parols! if you're unfamiliar, an actual parole is a star-shaped paper lantern made in the philippines as a christmas decoration. now i can't make paper lanterns but i can make these, which i did, based off of a design i worked out last Christmas to make some as a gift for my mom. most of these were made using lily sugar and cream yarn which was a Huge Mistake lol.
project 3, which i actually finished a while ago before finishing up the parols are these...things. it's a bit tricky to explain but basically i made these both for fun and as an experiment to test out the capabilities and limitations of chatgpt. if you're somewhat familiar with me, you'll know I'm a programmer by career. which means i have to keep abreast of technological developments NOT because i need them for my job, but because i WILL get pestered by other people who think i know the answer (a bit of a self fulfilling prophecy, that). plus, machine learning is a bit fun cause it's a) it's fun to see it flop and flail around cause it doesn't actually know shit and b) it's a fascinating reflection of the world we've created and the failures and limitations of the structures we create to define and control it.
which is to say that i asked it for various patterns with varying levels of specificity and oversight and crocheted what it gave me with varying levels of "forgiveness" (damn thing doesn't even tell me where to sew or attach things most of the time). IF my submission is accepted, I'm hoping they'll let me submit some explanations to go with lol. and also after finishing the last pattern, which i generated maybe 2 weeks ago, I've finished off the project in solidarity with WGA and the newly unionized "AI" content moderators.
(the most powerful tool i think i have personally is my ability to explain why chatgpt and it's siblings are so limited in their ability and why people ought to be careful implementing them in any meaningful way)
so now that I've adequately proved that i am not a tech bro, actually. observe: my children
the absolutely comical moray eel
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i requested a separate jaw piece and that it be long and thin. it gave me this in the silliest way possible.
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yes the fins are all wrong and the body is weirdly twisted. i don't know why it gave me a trapezoidal panel. it didn't even tell me to make a tube out of it or how but idk what else i couldve possibly done. anyway, i love him
next, a small collection of flowers.
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one looks like a sunny side up egg but pink. chat gpt claimed the one on the left was specifically supposed to be a rose, which is genuinely funny. it's a flower doily, at best, and not even a good one at that.
poppy, orange
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im actually quite impressed by these, especially the poppy petals and the leaf of the orange (though the orange is rather flat... i squished it in a bit for the sake of the picture. also check out that stem. wild.)
mystery patterns 1 and 2
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these were supposed to resemble actual things, when i was done with them. they do not.
my beloved pill quail
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the pattern actually had the dots misaligned because it miscounted the number of stitches in the round, making the instructions mathematically impossible. for the sake of not accidentally creating a physical impossibility and plunging the world into a spontaneously generated black hole, i decided to fix it instead. though that didn't stop my poor quail from literally being capsule shaped, having coffin shaped wings, and the largest quail beak ever. i actually was very specific about this pattern and had to ask it for modifications and answer regenerations a lot (if you do this, you'll find that the average crochet pattern it makes is JUST outside the bounds of it's character limit), so the fact it turned out so funny looking will never not be hilarious to me
mushrooms
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for the first, it actually just gave me a panel for the stem, but not cylindrifying it made no sense. for the second it literally just gave me two balls but the nature of crochet balls is you can kinda squish them into shapes.
the "flower basket"
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i asked it for an idea to put into the fair, it gave me the flower basket—a small, deflated ball. 10/10. the biggest failure, which is why I love it so
the water lily
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it did not adequately tell me how to put the petals onto the circular back panel (which it called the flower). I'd say what i did is probably what it was going for, but it's literally incapable of going for anything. that's not how text predictive models work. and fun fact! no water lily patterns on the internet look like this
self-representation
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if chatgpt looked like a little crochet guy, it would look like this, according to it. (once you get past it insisting that if has no visible/physical form) apologies for the very mediocre glasses—i did not get into this hobby to embroider. i am very specifically not good at that. also it's feet were literally too big to have it NOT be sitting. and i did ask for the size safety eyes i should use, which is why they're so small lmfao
and finally:
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Ert the hedgehog. it told me i COULD add spikes by using a crochet hook to add yarn at the top of its head. it did not tell me how. so i did that...for at LEAST as much time as it took to make the rest of it. Ert is my newest scapegoat whenever i have a problem. also i forgot to style his spikes for this photo lmaoo
bonus:
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rajubhadra · 1 year
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GPTPower Review - 100% Honest Opinion!
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Introduction: GPTPower Review
Welcome to my review blog and this GPTPower Review. Rick is the author of this content creation technology.
The World’s first real open AI-connected WordPress software. It auto-creates set-and-forget websites. You can stop being at the mercy of third-party content creation platforms.
Every business owner needs attention-grabbing marketing content to establish their brand & win the competition. But, Major content marketing platforms charge a HUGE monthly fee.
Now, If you too faced this issue, It’s time to take a breather to solve the issue. The World’s first real open AI-connected WordPress software that creates Set & Forget websites.
Limitless real-time unique content, auto-publishing posts, pages & images directly from Chat GPT & Open AI in any niche.
What Are The Benefits of GPTPower?
Here are some of its benefits:
– Creates Set & Forget Websites with Limitless Real-Time Unique Content, auto-publishing Posts, Pages & Images directly from Chat GPT & Open AI
– First & Only Google Approved Software That Publishes 100% Original, SEO-Friendly Content
– Publish Automated Content as Post and Pages using GPTPower AI directly on Your website
– Get 50 Done For Your Websites Without Adding Any Images, Content, Or Doing Anything Yourself
– Auto Q&A Feature To Give Instant Answers For Your Visitor’s Queries
– Just Enter the Title and your Content for Pages and Posts will be ready on your website
– Generate & Insert Automatic Visually Appealing Images Into The Post As Per Keyword & Title
– Choose the Temperature Of The Content & Control Its Randomness Control the Length Of The Content To Be Generated
– 100% Easy Use, Newbie Friendly Technology
– Just imagine the kind of growth prospects in store without any coding, designing, prior tech skills, or experience.
– It’s all going to soon become your reality.
That’s not all, You’ll also get step-by-step video training to explain everything and make the process hassle-free. It’s a complete win-win situation, but only available until the timer on the page hits ZERO. so HURRY up!
Get Instant Access Here >>
What Can You Do with This Software?
– Get Limitless Real-Time Unique Content with Images & Videos directly from Chat GPT & Open AI
– Publish Automated Content as Post and Pages using GPTPower AI directly on Your website.
– Just Enter the Title and your Content for Pages and Posts will be ready on your website.
– Generate & Insert Automatic Images into the post as per keyword & title!
– Choose the Image Size
– Add feature images.
– Choose from 4 Natural Language Modes to generate content Automatically
– Choose the temperature of the content & control its randomness
– Control the length of the content to be generated
Does GPTPower is a Traffic Solution?
Traffic is the lifeblood of every business online. Without traffic, your business won’t sustain itself in the long run. So, if you’re struggling to get traffic or need more traffic for your offers, I’ve found your solution.
Drive unlimited traffic to your offers in just 3 clicks. See your websites overflowing with HOT traffic.
It’s the World’s first real open AI-connected WordPress software that creates Set & Forget websites with Limitless Real-Time Unique Content, auto-publishing Posts, Pages & Images directly from Chat GPT & Open AI in any Niche. Get all these benefits WITHOUT Wasting time or money writing a SINGLE word yourself.
Anyone can make enticing content that connects with the audience & gets higher rankings. So, no more waiting for weeks or spending a ton of money on content creation! Get this mind-blowing technology today.
Final Opinion: GPTPower Review
In conclusion, I want to say GPTPower is Highly Recommended. If you’re a beginner and you don’t know how to create stunning content then you use this software.
Revolutionize your website creation with the World’s first AI WordPress creator. Set and forget with unique content from ChatGPT and OpenAI. You don’t need any technical skills for the investment required!
Now, this is your time to take action if you want to get this opportunity to run your online business smoothly.
Thanks for reading this GPTPower Review.
Get Instant Access Here >>
Thanks,
Raju Bhadra.
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jenniferphilop0420 · 4 days
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Top 10 AI Development Companies 2024: Leaders Shaping the Future of Artificial Intelligence
Artificial intelligence (AI) is no longer a futuristic concept; it has seamlessly integrated into our lives, transforming industries like healthcare, finance, e-commerce, and more. Behind these advancements are the AI development companies that are creating cutting-edge AI solutions, AI models, and AI technologies to help businesses streamline operations, enhance customer experiences, and drive innovation. If you’re looking to tap into AI for your business, these companies offer AI development services to make it possible.
In this article, we'll spotlight the Top 10 AI development companies in 2024, including industry leaders and innovative startups making strides in AI development technology. Whether you're looking for AI development solutions or full-scale AI services, these companies have established themselves as front-runners in the field.
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1. Shamla Tech – Your Partner in AI Innovation
A recognized name in the AI development world, Shamla Tech stands out for its comprehensive AI services, offering everything from custom AI models to robust AI solutions that cater to a wide variety of industries. With years of expertise in AI development technology, Shamla Tech is known for helping businesses leverage AI to automate processes, enhance decision-making, and improve overall operational efficiency.
Why Shamla Tech?
Customized AI Development Solutions: Shamla Tech develops bespoke AI systems to meet the unique needs of every business. Whether you need AI-powered chatbots or AI algorithms for predictive analysis, they deliver tailor-made AI development services.
End-to-End AI Services: Their expertise spans the entire AI development lifecycle, including data collection, model training, deployment, and maintenance.
AI-Powered Business Insights: Shamla Tech enables companies to extract valuable insights from their data through advanced AI analytics tools.
Key Focus Areas:
AI-powered automation for various industries
AI model training and optimization
Custom-built AI solutions for enterprises
2. OpenAI – Pioneering Generative AI
When it comes to groundbreaking AI development technology, OpenAI continues to lead with innovations like GPT-4, which has revolutionized the field of generative AI. The company focuses on developing advanced machine learning models that assist businesses in content generation, decision-making, and problem-solving.
Why OpenAI?
Advanced AI Models: OpenAI’s GPT series is renowned for generating human-like text, making it useful for chatbots, customer service, and content creation.
Cutting-Edge AI Technologies: From natural language processing (NLP) to machine learning algorithms, OpenAI remains at the forefront of AI innovations.
Flexible AI Solutions: They offer customizable AI solutions to various sectors, including e-commerce, education, and customer support.
3. Google DeepMind – AI for Scientific Breakthroughs
Known for its pioneering work in AI, particularly in healthcare and science, Google DeepMind pushes the boundaries of AI's potential. DeepMind’s AI models have been instrumental in solving complex scientific problems, like protein folding, which has far-reaching implications for drug discovery and medical research.
Why Google DeepMind?
AI for Healthcare: DeepMind uses AI development solutions to enhance medical diagnostics, particularly in fields like radiology and ophthalmology.
Scientific AI Models: Their innovations extend to biomedicine, physics, and chemistry, applying AI to some of the most complex scientific challenges.
AI for Gaming: DeepMind’s AI models, such as AlphaGo, have made headlines for their unprecedented success in games like Go and StarCraft.
4. IBM Watson – Enterprise AI Solutions
IBM Watson is one of the most comprehensive AI platforms available today, focusing on delivering AI development services for enterprises. Whether you're looking to integrate AI into your supply chain or customer service, IBM Watson provides customizable AI solutions that help businesses operate more efficiently.
Why IBM Watson?
Scalable AI Development: Watson's AI platform offers scalable solutions for enterprises, allowing them to grow their AI capabilities as their business needs evolve.
Industry-Specific AI Solutions: IBM Watson provides tailored AI technologies for healthcare, finance, and other sectors.
Data-Driven AI Models: Their AI models are designed to analyze large datasets, offering businesses actionable insights to improve their operations.
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5. Microsoft Azure AI – Cloud-Powered AI
Microsoft Azure AI offers a cloud-based platform that enables businesses to build, deploy, and manage AI applications. Azure AI is especially known for its deep integration with Microsoft’s other enterprise tools, making it an excellent choice for companies already utilizing the Azure cloud ecosystem.
Why Microsoft Azure AI?
Seamless Cloud Integration: Azure AI integrates with Microsoft’s cloud infrastructure, offering a smooth AI deployment process.
Comprehensive AI Services: From machine learning models to cognitive services like speech and vision, Azure AI covers a wide range of AI applications.
Enterprise-Grade AI Development: Azure AI is designed to meet the demands of large enterprises, providing secure, scalable, and reliable AI development technology.
6. Amazon Web Services (AWS) AI – AI in the Cloud
AWS AI provides powerful AI development solutions through its extensive cloud-based platform. Known for its robust infrastructure, AWS allows businesses to easily deploy and scale their AI initiatives using machine learning and natural language processing tools.
Why AWS AI?
AI-Powered Cloud Solutions: AWS AI integrates AI into cloud-based services, enabling businesses to process vast amounts of data seamlessly.
Advanced Machine Learning Models: AWS offers pre-trained machine learning models and customizable options for businesses looking to innovate using AI.
Wide Industry Reach: AWS AI provides solutions for a range of industries, including retail, healthcare, and logistics.
7. C3.ai – AI for Digital Transformation
C3.ai specializes in providing AI development services for digital transformation, focusing on industries like energy, manufacturing, and defense. Their AI solutions help companies optimize their operations, reduce costs, and make data-driven decisions.
Why C3.ai?
AI for Enterprise: C3.ai provides AI-based enterprise applications that help large businesses improve efficiency and performance.
Industry-Specific AI Models: Their solutions are designed for high-impact industries, offering tailored AI models that address specific challenges.
Comprehensive AI Development Technology: C3.ai covers the entire AI development lifecycle, from data collection to model deployment.
8. DataRobot – Automated Machine Learning
DataRobot offers automated AI development solutions that allow businesses to deploy AI without needing in-depth data science expertise. Their platform provides AI models that are easy to integrate and scale, making AI accessible to businesses of all sizes.
Why DataRobot?
Automated AI: DataRobot simplifies the AI development process by automating much of the model-building process, making it easier for businesses to implement AI.
Pre-Built AI Models: Their platform offers a wide range of pre-built AI models that are ready for deployment.
AI for Decision Making: DataRobot’s AI solutions help businesses make smarter, data-driven decisions through predictive analytics.
9. H2O.ai – Open-Source AI Platform
H2O.ai is known for its open-source AI development technology, offering businesses the flexibility to customize and scale their AI projects. Their platform provides both pre-built AI models and tools for building custom AI solutions.
Why H2O.ai?
Open-Source Flexibility: H2O.ai allows businesses to access open-source AI tools, offering complete customization for AI development.
Fast Deployment: Their platform is designed for fast, efficient deployment of AI models, helping businesses innovate at speed.
AI for Financial Services: H2O.ai has been especially successful in the financial sector, offering AI models for fraud detection and risk management.
10. Narrative Science – AI for Data Storytelling
Narrative Science focuses on converting data into meaningful insights through AI-powered storytelling. Their AI development services help businesses transform complex data into easy-to-understand narratives, enabling better decision-making across the organization.
Why Narrative Science?
AI for Data Interpretation: Narrative Science specializes in creating AI models that generate natural language narratives from complex data sets.
Improved Decision Making: Their AI-powered insights help businesses make informed decisions quickly and efficiently.
Customizable AI Solutions: Businesses can tailor Narrative Science’s AI solutions to meet their specific needs, whether for internal reports or customer-facing insights.
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These top AI development companies of 2024 are leading the charge in revolutionizing industries with their advanced AI technologies, AI models, and innovative AI development solutions. Whether you're a startup looking to integrate AI into your product or an enterprise aiming for large-scale digital transformation, these companies provide the AI development services you need to stay competitive in a tech-driven world. Among these, Shamla Tech continues to stand out with its customized AI offerings, making it a top choice for businesses looking for specialized AI expertise.
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techytoolzataclick · 5 days
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READ NOW: Tech trends defining the future of innovation
Come 2024 and the world is about to witness some tech trends which are bound to change the industries and reshape our world. Open Index Proxy & DeFi and Key Trends to Look Out for
Generative AI:
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Changing the Landscape of Content Creation, Designing & Problem Solving. GPT-4 creates beautiful written content, AI-designed visuals. In drug discovery, it makes predictions of molecular structures, and more….
Spatial computing:
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Digital information that is mixed with the physical environment, spatial computing includes AR, VR & MR, as it used in industrial metaverse (for real-time monitoring), education (immersive learning) and healthcare (medical training and surgery planning)
Quantum Computing:
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Quantum mechanics allows the creation of quantum computers, which can do huge calculations faster than ever. They claim it will lead to cryptography, materials science and AI advances — improving machine learning for faster data analysis.
Edge Computing:
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When you process data closer to the source of it (reducing latency and security threats). Essential for IoT along with autonomous vehicles and smart cities —that will bring instantaneous data processing and decision making.
5G Connectivity,
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which means the advent of newer, faster and lower latency 5G networks with flexibility in terms of capacity. This technology is enabler for enhanced mobile broad band, IoT devices, industry 4.0 transformation in smart factories and industrial automation.
Cyber Security:
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With everything getting digital these days, cyber threats are also going a step further. Sophisticated cyberattacks can be combatted using AI-driven security, a zero trust architecture, and blockchain security.
This is where these top tech trends are impacting and reshaping industries, and by extension our lives. Being updated on trending topics will also help you to stay relevant and engage your audience in return making you a thought leader of the AI and tech niche.
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saan1984 · 26 days
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What are the benefits of cognitive automation? Across the 63 use cases we analyzed, generative AI has the potential to generate $2.6 trillion to $4.4 trillion in value across industries. Its precise impact will depend on a variety of factors, such as the mix and importance of different functions, as well as the scale of an industry’s revenue (Exhibit 4). Our analysis did not account for the increase in application quality and the resulting boost in productivity that generative AI could bring by improving code or enhancing IT architecture—which can improve productivity across the IT value chain. However, the quality of IT architecture still largely depends on software architects, rather than on initial drafts that generative AI’s current capabilities allow it to produce. Software engineering is a significant function in most companies, and it continues to grow as all large companies, not just tech titans, embed software in a wide array of products and services. For example, much of the value of new vehicles comes from digital features such as adaptive cruise control, parking assistance, and IoT connectivity. Often found at the core of cognitive automation, AI decision engines are sophisticated algorithms capable of making decisions akin to human reasoning. Cognitive automation’s significance in modern business operations is that it can drastically reduce the need for constant context-switching among knowledge workers. Like our brains’ neural networks creating pathways as we take in new information, cognitive automation makes connections in patterns and uses that information to make decisions. Cognitive automation has the potential to completely reorient the work environment by elevating efficiency and empowering organizations and their people to make data-driven decisions quickly and accurately. IBM’s cognitive Automation Platform is a Cloud based PaaS solution that enables Cognitive conversation with application users or automated alerts to understand a problem and get it resolved. It is made up of two distinct Automation areas; Cognitive Automation and Dynamic Automation. Difficulty in scaling While RPA can perform multiple simultaneous operations, it can prove difficult to scale in an enterprise due to regulatory updates or internal changes. According to a Forrester report, 52% of customers claim they struggle with scaling their RPA program. A company must have 100 or more active working robots to qualify as an advanced program, but few RPA initiatives progress beyond the first 10 bots. We are in the process of writing and adding new material (compact eBooks) exclusively available to our members, and written in simple English, by world leading experts in AI, data science, and machine learning. Blog Contents Furthermore, CPA allows organizations to manage and analyze large volumes of data more efficiently. CPA employs algorithms to analyze vast datasets, extract meaningful insights, and make informed decisions autonomously. It excels in handling unstructured data, such as text, voice, or images, by utilizing NLP to comprehend and process Chat GPT human language. Furthermore, ML algorithms enable CPA systems to continuously learn and adapt from data, improving their performance over time. In healthcare, these AI co-workers can revolutionize patient care by processing vast amounts of medical data, assisting in accurate diagnosis, and even predicting potential health risks. Adoption is also likely to be faster in developed countries, where wages are higher and thus the economic feasibility of adopting automation occurs earlier. Even if the potential for technology to automate a particular work activity is high, the cognitive process automation costs required to do so have to be compared with the cost of human wages. In countries such as China, India, and Mexico, where wage rates are lower, automation adoption is modeled to arrive more slowly than in higher-wage countries (Exhibit 9). Due to its standardized notation, BPMN provides unambiguous elements to diagram and display the flow of processes while a...
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neturbizenterprises · 26 days
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youtube
Revolutionize Tech with Multimodal AI!
Multimodal AI is revolutionizing technology by seamlessly combining text, images, and audio to create comprehensive and accurate systems.
This cutting-edge innovation enables AI models to process multiple forms of data simultaneously, paving the way for advanced applications like image recognition through natural language prompts. Imagine an app that can identify the contents of an uploaded image by analyzing both visual data and its accompanying text description.
This integration means more precise and versatile AI capabilities, transforming how we interact with digital content in our daily lives.
Does Leonardo AI, Synthesia AI, or Krater AI, leverage any of these mentioned Multimodal AI's?
Leonardo AI - Multimodal AI:
Leonardo AI is a generative AI tool primarily focused on creating high-quality images, often used in the gaming and creative industries. While it is highly advanced in image generation, it doesn't explicitly leverage a full multimodal AI approach (combining text, images, audio, and video) as seen in platforms like GPT-4 or DALL-E 3. However, it might utilize some text-to-image capabilities, aligning with aspects of multimodal AI.
Synthesia AI - Multimodal AI:
Synthesia AI is a prominent example of a platform that leverages multimodal AI. It allows users to create synthetic videos by combining text and audio with AI-generated avatars. The platform generates videos where the avatar speaks the provided script, demonstrating its multimodal nature by integrating text, speech, and video.
Krater AI - Multimodal AI:
Krater AI focuses on generating art and images, similar to Leonardo AI. While it excels in image generation, it doesn't fully incorporate multimodal AI across different types of media like text, audio, and video. It is more aligned with specialized image generation rather than a broad multimodal approach.
In summary, Synthesia AI is the most prominent of the three in leveraging multimodal AI, as it integrates text, audio, and video. Leonardo AI and Krater AI focus primarily on visual content creation, without the broader multimodal integration.
Visit us at our website: INNOVA7IONS
Video Automatically Created by: Faceless.Video
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arjunkumaruv · 1 month
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Tech Winks: Exploring the Latest Trends and Innovations
In the ever-evolving world of technology, staying ahead of the curve is crucial for both consumers and industry professionals. The term “Tech Winks” has been gaining traction as a way to describe those brief, insightful updates or revelations in the tech world that might not make headlines but are nonetheless significant. This article explores the latest trends and innovations associated with Tech Winks, offering a comprehensive overview of what’s currently shaping the technology landscape.
Understanding Tech Winks
Before diving into specific trends, it’s important to clarify what we mean by Tech Winks. The term “winks” suggests brief, almost fleeting moments of insight or revelation that offer a glimpse into future possibilities or current shifts in technology. Unlike major news stories that dominate headlines, Tech Winks refer to those smaller, yet impactful, updates or trends that might not be immediately significant but have the potential to shape the future.
1. Advancements in Artificial Intelligence (AI)
Artificial Intelligence continues to be a major player in the technology landscape. Recent Tech Winks in AI include:
Generative AI Models: Generative AI, such as GPT-4, has made significant strides in creating human-like text, generating images, and even composing music. These models are becoming more sophisticated, offering new possibilities for content creation, customer service, and personalized experiences.
AI in Healthcare: AI is increasingly being used for diagnostic purposes, drug discovery, and personalized treatment plans. Machine learning algorithms are helping to identify patterns in medical data that can lead to earlier detection of diseases and more effective treatments.
Ethical AI: As AI technology advances, so does the conversation around its ethical implications. Discussions are focusing on bias, fairness, and transparency in AI systems, prompting companies to adopt more ethical practices in their AI development processes.
2. The Rise of Quantum Computing
Quantum computing is another area where Tech Winks are making waves. While still in its early stages, quantum computing promises to revolutionize how we solve complex problems. Key developments include:
Quantum Supremacy: Researchers are making progress towards achieving quantum supremacy, where quantum computers can solve problems beyond the reach of classical computers. This milestone has the potential to impact fields such as cryptography, materials science, and complex system modeling.
Commercialization Efforts: Tech companies are investing heavily in quantum computing research and development. Efforts to build practical, commercially viable quantum computers are underway, with several companies already offering cloud-based quantum computing services.
3. The Evolution of Internet of Things (IoT)
The Internet of Things (IoT) continues to expand, with new applications and innovations emerging regularly. Recent Tech Winks in IoT include:
Smart Home Integration: IoT devices are becoming more integrated, creating smarter home environments. Innovations in smart appliances, lighting, and security systems are making homes more efficient and convenient.
Industrial IoT (IIoT): In industrial settings, IoT is being used to optimize operations, monitor equipment, and improve safety. IIoT applications are helping industries reduce downtime, increase productivity, and lower operational costs.
Edge Computing: With the growth of IoT devices, edge computing is gaining traction. Edge computing processes data closer to the source, reducing latency and bandwidth usage. This is particularly important for real-time applications and enhancing the efficiency of IoT networks.
4. Breakthroughs in Augmented Reality (AR) and Virtual Reality (VR)
Augmented Reality (AR) and Virtual Reality (VR) technologies are evolving rapidly, with new applications and improvements emerging. Key Tech Winks in this space include:
AR in Retail and E-Commerce: Retailers are adopting AR to enhance the shopping experience. AR apps allow customers to visualize products in their homes or try on virtual clothing, bridging the gap between online and in-store shopping.
VR in Training and Simulation: VR is being increasingly used for training and simulation across various industries, including healthcare, aviation, and manufacturing. VR training programs offer immersive experiences that improve skills and safety.
Mixed Reality (MR): The convergence of AR and VR into Mixed Reality is opening new possibilities for interactive experiences. MR devices are being developed to blend digital and physical worlds seamlessly, offering innovative applications in education, design, and entertainment.
5. Sustainability in Technology
Sustainability is becoming a significant focus in the tech industry, with companies and researchers exploring ways to reduce environmental impact. Recent Tech Winks in this area include:
Green Data Centers: Data centers are major consumers of energy. Innovations in cooling technologies, renewable energy integration, and energy-efficient hardware are helping to reduce the carbon footprint of data centers.
Sustainable Electronics: There is a growing emphasis on designing electronics with sustainability in mind. This includes using recyclable materials, reducing electronic waste, and creating energy-efficient devices.
Circular Economy Initiatives: Tech companies are increasingly adopting circular economy principles, focusing on extending the lifecycle of products, reducing waste, and promoting recycling and reuse.
6. Blockchain Beyond Cryptocurrency
Blockchain technology is often associated with cryptocurrency, but its applications extend far beyond that. Recent Tech Winks in blockchain include:
Supply Chain Transparency: Blockchain is being used to enhance transparency and traceability in supply chains. By recording every transaction on a decentralized ledger, companies can improve accountability and reduce fraud.
Smart Contracts: Smart contracts, which are self-executing contracts with terms written into code, are gaining traction in various industries. They automate and enforce agreements, reducing the need for intermediaries and improving efficiency.
Decentralized Finance (DeFi): DeFi platforms are using blockchain to offer financial services without traditional intermediaries. This includes lending, borrowing, and trading, all facilitated through decentralized networks.
Tech Winks Conclusion
Tech Winks provides valuable insights into the evolving technology landscape, highlighting trends and innovations that might not always make the headlines but are nonetheless important. From advancements in AI and quantum computing to the rise of IoT, AR, and VR, these small yet significant developments are shaping the future of technology. Additionally, sustainability efforts and the expanding applications of blockchain technology underscore the industry’s commitment to addressing global challenges and improving everyday life. As technology continues to advance, keeping an eye on these Tech Winks will help you stay informed about the innovations that are driving progress and shaping our world.
Whether you’re a tech enthusiast, a professional in the field, or simply curious about the latest developments, understanding these trends will equip you with the knowledge to navigate the future of technology with confidence.
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jubinbabu21 · 2 months
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How AI Would Drive New Digital Marketing Strategies in 2024
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Welcome to a world where AI is not just some buzzword thrown around within circles of tech enthusiasts; it is the real deal and at a very fast pace. It's changing the game in terms of digital marketing faster than you can say "algorithm." But if you're still stuck in that pre-AI age of marketing, then catch up, as 2024 has arrived with full force, featuring AI innovations that revolutionize strategies for digital marketing. Buckle up as we plunge into this new bold world!
AI in Digital Marketing: The DaybreakA Brief History
Remember those times when digital marketing was all about flashy banners and email spam? Ah, easy times, my friend! Well, data grew, and with it, the itch for smarter marketing strategies. Here came AI, touting promises of making sense of chaos. The transition wasn't overnight, but boy, has it been transformative!
Early Adoption and Skepticism
First of all, marketers were sceptical. AI sounded way too close to science fiction. People doubted whether a machine would ever truly understand human behaviour. Fast forward to 2024; AI has proved its worth and is now an indispensable part of the digital marketing toolkit with a lot of free AI tools for digital marketing
AI-Powered Tools Taking Over Chatbots:
The New Customer Service Representatives
Why They're Awesome
Chatbots are like those uber-efficient friends who just seem to know almost everything. They handle customer inquiries 24/7, and never do they need a cup of coffee to brighten them up. And, let's be honest here, they don't get cranky! With AI, chatbots become adept at comprehending natural languages and dispensing solutions that seem almost human.
Fallacies at Large
Many people still seem to think that chatbots are just robotic, automated responses. Nothing could be further from the truth about today's AI chatbots. They learn from interactions, can adapt their responses accordingly, and even throw in a joke or two. The future of customer service is here, and it's pretty chatty!
Predictive Analytics:
Seeing the FutureHow It Works
Now, imagine a crystal ball that dictates what your customers will want next. That is predictive analytics in a nutshell: AI analyzes past data to predict future trends, so that marketers are always one step ahead. It's like having a marketing psychic on your team—no crystal ball required.
Case Studies
Companies at the forefront of implementing predictive analytics have impressive results to show for their efforts. From targeted campaigns that hit the bull's eye to inventory management that prevents overstocking, benefits from its adoption are patent. These businesses that embraced this tech are earning the rewards of foresight.
Personalized Marketing on Steroids
Power of Personalization
It's no longer slapping a customer's name in an email. Customization goes way deep, from preferences to behaviours to interactions, developing bespoke experiences with AI. Similar to having a personal shopper who knows what you want before you even know it.
Examples of Successful Campaigns
Brands like Netflix and Amazon nail AI-driven personalization. They recommend products and content so well that it actually feels like they're reading your mind. These successes are just the tip of the iceberg in the AI personalization revolution.
AI Content Creation and CurationAI-Generated ContentBenefits
AI isn't just consuming content; it's actually creating it. This generation has seen tools like GPT-4 that can handle a blog post, a social media update, or even a poem. What are the advantages? Speed, efficiency, and being able to chomp out content at scale without breaking a sweat.
Quality Concerns
Let's not get too carried away here. Sometimes AI content misses completely on nuance and creativity. This is where AI effectiveness needs to be counterbalanced by human creativity to ensure the delivery of content that is both engaging and authentic.
AI in Content CurationStreamlining the Process
Content curation had become labour-intensive. Then, along came AI, which was able to comb through mountains of data for the best content in seconds. You could say it is much like a digital librarian who knows just what you are looking for.
Improved User Experience
AI curates content based on user preference and makes the user's online experience more enjoyable and relevant. Doing this not only engages users but also builds brand loyalty.
Enhancing Customer Experience with AI
AI and Customer Insights
Collection of Data
AI doesn't just collect data; it makes sense of the data. From customer interactions to preferences and behaviors, the depth of insights AI provides is previously unimaginable. It's like having a detective who's really into joining the dots.
Actionable Insights
Insights like that are gold dust for marketers—informing strategies, creating targeted campaigns, and driving better decision-making. It's about spurring data into action.
Chatbots and Virtual Assistants Efficiency
The unsung heroes of modern customer service are AI-powered chatbots and virtual assistants. They can process requests, handle queries, and even recommend things while keeping the human agents free to focus on more complex issues.
User Satisfaction
Customers love quick responses, and AI delivers. Chatbots enhance the user satisfaction and attract customers for more through near-instant replies and 24/7 availability.
Ethical Considerations and Challenges
Data Privacy Issues
Consumer Concerns
With great power comes great responsibility. While AI has been frantically collecting data, privacy concerns have skyrocketed. Consumers want to be assured that their data is safe and used ethically.
Measures by Regulation
Governments and organizations have taken a step forward with regulations concerning the protection of data privacy. Keeping up with compliance remains critical for businesses if they would like to hold on to trust and avoid heavy fines.
Bias in AI and Fairness
Identifying Bias
AI is not perfect; it inherits biases from data on which it has been trained, resulting in unfair outcomes. So the key to the ethical use of AI is noticing and dealing with such biases.
Minimizing Bias
Developers are working on techniques that lessen bias, so AI systems can be fair and equitable. It's in progress, but a very important feature for the integrity of the technology.
Future Trends in AI
Digital Marketing with AI and Voice Search
Voice Search is exploding. As AI is intrinsic to voice search, marketers must optimize for voice to remain relevant as more consumers turn to Siri, Alexa, and Google Assistant.
Augmented Reality Marketing
AR brings a plethora of immersive marketing experiences from virtual try-ons to ad interactions that are driven by AI. It is doing all it can to make marketing more fun and engaging.
AI in Video Marketing
Video marketing is being transformed, from video editing to recommendations, even AI-written scripts. The future of video is smart, dynamic, and deeply personalized.
Conclusion
AI is no longer a concept of the future; it's here, reshaping digital marketing in ways one could never have thought possible ten years ago. From chatbots to predictive analytics, AI works its way into bettering strategies, customer experience, and results. Looking ahead, embracing AI is no longer an option; it will be necessary to be competitive in the digital world. So are you prepared to ride the wave of AI? Let's get started immediately with free AI tools for digital marketing to transform your strategies today!
FAQs
What are some free AI tools for digital marketing? Here are some free AI tools for digital marketing that would better strategize: from Google AI tools and HubSpot AI-powered features to Mailchimp AI-driven email marketing.
How does a digital marketing expert utilize AI? A digital marketing expert makes use of AI in such a way that he or she performs data analysis, executes personalized marketing campaigns, automated customer service, and predictive analytics to be ahead of trends and optimize performance.
What are the benefits of a digital marketing agency using AI? AI improves efficiency, provides better insight into clients, serves better targeting, and helps run more effective and personalized campaigns for any digital marketing agency.
How can AI help a digital marketing freelancer? This is how a digital marketing freelancer could use AI to automate a lot of drudgeries, get deeper insights from client data, and create better-personalised content that offers more value to the clients at a lesser effort.
What are some of the ethical considerations when using AI in digital marketing? More specifically, ethics drive data privacy, while bias in AI algorithms needs to be tamed as its role in marketing is open for consumer trust.
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rthidden · 2 months
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The Future of AI: Lessons from Tech History
Can we predict the future of AI by looking at other tech industries? Absolutely!
1. General Purpose Technologies: Databases and AI
Databases, like AI, are general purpose technologies.
Both started as complex tools that evolved into user-friendly applications. Think Excel for databases and Gigabit for AI.
2. Use Cases Drive Industry Growth
Common use cases transform basic technology into specialized industries.
For example, CRMs are essentially databases with a user interface, yet they birthed giants like Salesforce and HubSpot in a $90 billion industry.
3. The Emerging Application-Specific AI Tool Industry
While still nascent, tools like Jasper for social media content hint at massive growth potential.
Critics argue these are just "wrappers" around chat GPT, but so are CRMs around databases—and look at their success!
4. Focus Areas for Startups and Enterprises
Startups should target creating application-specific AI tools to solve real problems.
Enterprises will eventually buy these specialized tools rather than build their own, much like they do with CRMs today.
The future of the AI industry lies in transforming complex technology into easy-to-use, application-specific tools. Startups should seize this opportunity to innovate, while enterprises should prepare to adopt these solutions. What do you think?
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jcmarchi · 2 months
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How developers can use Llama 3.1 to build advanced models
New Post has been published on https://thedigitalinsider.com/how-developers-can-use-llama-3-1-to-build-advanced-models/
How developers can use Llama 3.1 to build advanced models
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Meta has taken a bold step forward in open-source large language models (LLMs) with the release of Llama 3.1. This 405B model update is said to rival the “top AI models when it comes to state-of-the-art capabilities in general knowledge, steerability, math, tool use, and multilingual translation.” 
Llama 3.1 is a powerful tool that helps developers explore new ideas in AI research. Its improved knowledge, flexibility, and ability to handle multiple languages make it ideal for this purpose.
Want to learn more?
Keep reading for a deeper dive into Llama 3.1, its features, and how developers can use it to build advanced models. 👇🏼
Table of contents:
What is Llama 3.1?
Llama 3.1 is the first frontier-level open-source large language AI model. With 405B, it’s easiest the largest openly available model on the market, turning heads across the tech industry.
According to Meta, this version of the original model (Llama 1 and Llama 2) has 128K context length, improved reasoning, and coding capabilities. Meta has also upgraded both multilingual 8B and 70B models.
This open-source powerhouse empowers the community to explore new workflows, including synthetic data generation and large-scale model distillation.
In head-to-head tests, Llama 3.1 held its own against industry leaders like GPT-4, GPT-40, and Claude 3.5 Sonnet. It did particularly well in tasks involving math, reasoning, and coding.
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Original source: Meta blog post
To achieve this performance, Meta trained the model on 15 trillion tokens. This required significant optimization and a massive 16,000+ H100 GPU setup.
Original source: Meta blog post
Llama 3.1 405MB capabilities
Llama 3.1 comes with a host of features and capabilities that appeal to developers, such as: 
RAG & tool use – Meta states that you can use Llama system components to extend the model using ‘zero-shot tool use’ and build agentic behaviors with RAG. 
Multi-lingual – Need to translate text from one language to another? With the right prompt, you can translate your text into any language. For example, you could use a prompt as simple as, “Translate this product description into Spanish” and Llama 3.1 will complete the task.
Complex reasoning – Assess the finer details and get help with complex reasoning tasks with help from Llama 3.1.
Coding assistants – You can use this AI tool to create codes to help you build intricate models or AI applications upon request.
Inference – You can choose between real-time inference or batch inference services. According to Meta, you can download “model weights to further optimize cost per token.”
Fine-tune – Adapt and customize your application as needed. You can also improve it with synthetic data and deploy it “on-prem or in the cloud.”
How to use GPT-4o mini to build AI applications (10 tips)
In a major move towards making artificial intelligence more accessible, OpenAI has unveiled GPT-4o mini, its “most affordable and intelligent small model” to date.
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How developers can build with Llama 3.1 405B
Generative AI development involves more than just prompting models; using a model at the scale of 405B can be a challenge for developers. 
While this model is incredibly powerful, its complexity and resource demands can be a barrier to entry. In response to community feedback, Meta has taken steps to make sure everyone can make the most of Llama 3.1. 
To help developers fully leverage the 405B model, several key capabilities are being highlighted: 
Real-time and batch inference
Supervised fine-tuning
Application-specific model evaluation
Continual pre-training
Retrieval-Augmented Generation (RAG)
Function calling
Synthetic data generation
The Llama ecosystem is designed to support developers in maximizing these capabilities from day one. This means that you can immediately tap into the 405B model’s advanced features and begin building your projects.
Mark Zuckerberg, CEO and co-founder of Meta, has said in his blog post:
“Today,, we’re taking the next steps towards open-source AI becoming the industry standard. We’re releasing Llama 3.1 405B, the first frontier-level open-source AI model, as well as new and improved Llama 3.1 70B and 8B models.
“In addition to having significantly better cost/performance relative to closed models, the fact that the 405B model is open will make it the best choice for fine-tuning and distilling smaller models.”
The future of AI: smaller models could be the way forward
OpenAI CEO, Sam Altman, spoke to Wired about how the era of giant artificial intelligence models has likely already ended.
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Why developers should use Open Source AI
Zuckerberg also went on to explain why he believes open source is the best development stack for developers, highlighting several key areas:
1. Training, fine-tuning, and distilling custom models
Different tasks require different model sizes. Smaller models are ideal for on-device tasks and classification tasks. On the other hand, larger models are better suited for more complex applications.
If your goal is to create advanced models, Zuckerberg claims Llama 3.1 is the best choice, stating that you can “continue training them with your own data and then distill them down to a model of your optimal size – without us or anyone else seeing your data.”
2. Maintaining control
If you’re someone who would rather not rely on models you can’t run or manage yourself, you’re in luck.
Open-source solutions provide a flexible ecosystem of compatible toolchains, offering you the freedom to switch between them easily. This means you won’t have to rely on closed model providers who could change their models, alter terms of use, or even discontinue service at the drop of a hat. 
3. Data security
If your company handles a lot of sensitive data, you need to work with a model that secures that data properly. There’s a general mistrust of closed model providers when it comes to sensitive data.
However, open-source models can be run anywhere and are often considered more secure due to their transparent development process.
4. Efficiency and cost-effectiveness
According to Zuckerberg:
“Developers can run inference on Llama 3.1 405B on their own infra at roughly 50% the cost of using closed models like GPT-4o, for both user-facing and offline inference tasks.” 
5. Invest in an ecosystem with longevity
Investing in the long-term standard for AI models is important. Many developers see open source advancing faster than closed models and want to build their systems on the architecture that offers the greatest long-term advantage.
In conclusion…
Meta’s release of Llama 3.1 marks a significant leap forward for open-source AI. With its unmatched capabilities and commitment to responsible development, Llama empowers a wider range of developers to explore the potential of AI.
“Open source will ensure that more people around the world have access to the benefits and opportunities of AI, that power isn’t concentrated in the hands of a small number of companies, and that the technology can be deployed more evenly and safely across society.” – Mark Zuckerberg
With Llama 3.1 readily available and a robust ecosystem in place, the possibilities for innovation and positive societal impact are endless.
FAQs: Llama 3.1
What is Llama 3.1 405B?
Meta claims Llama 3.1 405B is the biggest publicly available language model in the world. It pushes the boundaries of AI and is perfect for big businesses and cutting-edge research.
Is Llama 3.1 free?
Llama 3.1 isn’t exactly free, but it *is* accessible! You can use Llama 3.1 under a special agreement from Meta. This lets researchers, developers, and businesses use it for both research and making money.
Is Llama 3 better than GPT-4?
It depends! GPT-4 might be stronger for solving puzzles and math problems. But, Llama 3.1 is a close competitor and held its own when Meta carried out comparison tests with other big league names such as Chat-GPT and Claude.
What is the latest model of Llama?
Llama 3.1 is the most recent version currently available.
Want to keep up with the latest AI trends and innovations?
Our AI Accelerator Institute Summits bring together software engineers, developers, and technical leaders to share their insights and tackle the challenges of integrating AI into real-world applications.
Grab your ticket today, and you’ll…
See real-world examples of how companies are leveraging AI to gain a competitive advantage.
Network and collaborate with a diverse group of local and global AI specialists.
Gain the knowledge and connections you need to get your AI projects up and running quickly.
Become a part of a supportive community that will help you achieve your AI goals.
Register today and join us for an event that will transform your approach to AI!
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aiservicesprovider · 3 months
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The Ultimate Guide On Custom GPT Development
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In 2023, the OpenAI led the growth of generative AI, and ChatGPT is a well-known app. It took big language models like GPT-3 and GPT-4 to make this progress. ChatGPT has many uses, even for fairly easy questions. For example, Microsoft has built these language models into the Bing Search Engine. AI has advanced, but you have yet to see its full potential. Now that GPTs are available, you may adapt them to educate chatbots to behave like people or create company chatbots. Keep reading to learn about Custom GPT development.
How to Make a Custom GPT Model?
Has it ever seemed like a treasure hunt, but you sought innovative ways to learn instead of money? That's exactly how you felt when making unique GPT models. It starts with a single step and ends with a place where there are many different ways to customize your education.
When creating a custom GPT model, you need to do more than just input data into a system; you need to create a learning companion that knows and adjusts to each person's needs. Let's go on this trip together, breaking it down into steps that are easy to handle. This will change how we think about individual learning. Here are the steps to follow for Custom GPT development:
Setting Goals for Your Education
Let's discuss setting your school goals first, then move on to the tech. It's like making a map before a big trip. The same is true for Custom GPT development.
It's important to be clear about what you want your kids to do. Are we getting people more involved, helping them understand better, or maybe both? Clearly stating these goals is more than just pointing the way; it lights the way for all decisions made during Custom GPT development.
Following this step will ensure that your custom GPT model isn't just another tool but a one-of-a-kind answer that directly addresses your educational needs.
Being able to train your GPT model
After Custom GPT development, you must train your model. You're showing a new friend worldwide. First, you teach it everything you want it to know. This could be what you use for school, like textbooks or lesson notes. After that, you give this data to CustomGPT.ai.
You give CustomGPT.ai your data, and it puts it all together, and you learn from it. What's cool? You don't have to be a cook or a programmer to do this. The no-code technology at CustomGPT.ai makes it very simple.
Just enter your information, and your personalized GPT model will start to understand your learning goals. This step is very important for ensuring that each student's learning path feels unique.
Testing and putting the model into action
After training your unique GPT model, it's time to put on a show! Putting the model into action and trying it is like the dress practice before the big show. You need to make sure everything works well. First, add your model to the space where the students are learning.
It's like setting the scene. After that, try it out. Check out how it reacts when you ask questions and throw it curveballs. This step is very important because it's where you make tiny changes. You want to find any problems or places where the model might need help understanding.
It's all about making changes to ensure your unique GPT model helps students learn. Remember that the goal is to make the learning process smooth and helpful. So try, make changes, and test again until it works perfectly.
How Does Creating a Custom GPT for Personalized Learning Paths Benefit You?
Making a Custom GPT for custom learning tracks has many advantages that can greatly improve the learning experience. Here are some of the main cons:
Personalized Learning:
Custom GPT can make learning paths for each student based on their skills, flaws, and progress. Personalization helps students focus on areas they need to improve, making learning more fun and useful.
Changes to dynamic content:
Custom GPT's ability to change teaching material on the fly is a big deal. If a student needs help with a certain idea, the system can give them more help or make the material easier to understand, ensuring everyone can learn and be interested in it.
Effective Grading:
Grading can take a lot of time for teachers. Custom GPT speeds up this process by marking quickly and consistently so teachers can spend more time teaching and less on administrative chores.
Conclusion
You now know how to use Botsonic and OpenAI's GPT Builder for Custom GPT development. To get the most out of your unique GPTs, carefully follow the directions and think about what works best. Start building your robot today to change how you engage with AI technology. Remember that Custom GPT development is a job that will never end. Watch your robot and make changes as needed to ensure it works well and is useful.
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theaiuploader · 4 months
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Expose The A.I. Uploader | Truth & Review
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AI Uploader is a game-changer for anyone :
looking to capitalize on the booming app market without the hassle of coding or technical complexities. Its intuitive platform and powerful AI technology make app creation a breeze, allowing users to generate substantial income streams with minimal effort. Whether you’re a seasoned entrepreneur or a complete beginner, AI Uploader offers a straightforward solution for turning data into profit-generating apps. With its impressive features and potential for high earnings, AI Uploader is a must-have tool for anyone looking to succeed in the digital age.
Key Features:
Instant App Creation: AI Uploader enables users to generate apps quickly and easily by uploading CSV files.
No Coding Required: With AI Uploader, there’s no need for coding skills or technical knowledge. The AI handles everything from app creation to deployment.
Commercial Rights: Users have full commercial rights to the apps they create, giving them the freedom to sell or distribute them as they please.
High Earning Potential: By tapping into AI-driven app development, users can potentially earn significant commissions ranging from hundreds to thousands of dollars.
User-Friendly Interface: AI Uploader offers a user-friendly interface that makes app creation accessible to beginners and experts alike
Member Benifits:
Crawl Any Website (For ANY Niche)
The first step is to ask GPT 4 Omni to crawl your chosen sites. This builds our database file, letting us generate a Google Sheet that buyers WANT (don’t worry, this is the clever bit, we show you how it works.. and it works for ANY niche!). This is only possible as of May 2024 with the GPT 4 OMNI BREAKTHROUGH!
Create Unlimited, Profitable Apps
With our new Google Sheet (built by GPT4Omni) we now import it into the second tool, which actually builds our app. Choose from one of 2x app styles, enter a few settings and watch as the app generates an instant software tool from scratch.. for any niche! These software apps are STUNNING which is how we made over $500k with them!
Follow 500,000 Breadcrumbs
While the underlying “AI Crawler” tech that makes all this possible is only a few weeks old, we’ve been making $30,000 to $70,000 per year with this for a full decade! Let us breakdown examples, case studies and templates to show you what’s possible.. so your leads, affiliate commissions and product sales EXPLODE in 2024!
Swipe The $4k/Day Templates
While this 2-in-1 suite does indeed work for ANY niche or business, we know that many just want the “1-click” shortcut, so we’re going to give you pre-made, DFY templates for all our best apps.. built-in and just a click away! This is your spring-board for AI pay-days in May 2024!
Exclusive Bonuses with Your AI Uploader Purchase
“AI Whisperer $1k/Day PDF”
Truth is, no-one is as deep in the AI game as us (which is how we discovered this “Google Sheet” loophole and automated it with GPT 4 Omni). And truth is.. this is just scratching the surface on the ways we profit with AI. So, we’re also including our “AI Whisperer 2024” PDF — a complete blueprint to all the ways we make money with AI in 2024. X,XXX-selling “Deal Of The Day” but yours FREE during the launch period…
“FREE GOOGLE CLICKS” Software
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Clone 16 Months Of My AI CashFlow
While this might be my last launch (ever!), we were putting out content to our members through all of 2023 and 2024. The good news? When you join you’ll get instant access to HOURS of AI cash flow training right away. So, if this is your first foray into the world of AI/GPT profiteering.. you’re entering at LEVEL 5000!
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jenniferphilop0420 · 20 days
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The 10 Best AI Development Companies in the World (2024)
Artificial Intelligence (AI) is no longer a futuristic technology; it's transforming industries across the globe. AI development companies are now at the forefront of innovation, helping businesses harness the power of AI to improve processes, automate tasks, and offer personalized solutions. Whether it’s building smart algorithms, developing AI-driven applications, or integrating machine learning models, these companies are shaping the future. In this article, we’ll explore the 10 best AI development companies in the world (2024), with a special mention of Shamla Tech, a rising star in the AI industry.
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What Makes a Great AI Development Company?
Before diving into the top companies, let's understand what distinguishes a great AI development company. These companies stand out because they offer:
Cutting-edge AI development solutions
Expertise in deploying advanced AI models
A diverse range of AI technologies
Innovative AI development services tailored to business needs
State-of-the-art AI development technology
Proven ability to deliver AI solutions across industries
1. Shamla Tech
Shamla Tech is a leader in offering tailored AI development services that cater to businesses of all sizes. Whether you're a startup looking to integrate AI or an enterprise seeking advanced AI-driven applications, Shamla Tech delivers a full suite of AI development solutions. Their team of skilled developers and AI engineers focus on building custom AI models that suit each client’s unique requirements.
What sets Shamla Tech apart from its competitors is its focus on AI-driven innovation in areas such as natural language processing, predictive analytics, and AI-powered automation. They utilize the latest AI technologies to ensure that their clients stay ahead of the curve.
In 2024, Shamla Tech is poised to revolutionize industries by helping businesses automate their workflows and improve their customer experience with innovative AI tools.
2. IBM Watson
IBM Watson remains a global leader in AI development. Known for its AI development technology and advanced machine learning models, IBM has helped countless companies implement AI solutions. Their AI development services range from data analysis to building custom AI applications. Watson AI offers natural language processing and computer vision services, making it highly versatile for various industries.
IBM is constantly evolving its AI models, ensuring clients can take advantage of cutting-edge AI technologies to transform their operations. The brand's commitment to research and development has kept them at the forefront of the AI space.
3. Google DeepMind
Google's DeepMind is synonymous with groundbreaking advancements in artificial intelligence. Known for its remarkable achievements in deep learning and neural networks, DeepMind has created some of the most sophisticated AI models in the world. From healthcare to gaming, their AI development solutions have made significant impacts globally.
In particular, DeepMind has contributed to advancements in predictive analytics and machine learning, helping businesses make more data-driven decisions. The company's research continues to push the boundaries of AI technologies, making it a top player in 2024.
4. OpenAI
As one of the most recognized names in AI research, OpenAI continues to set the standard for AI development solutions. The company is known for developing GPT models, the same technology behind AI chatbots and language models. In addition to its powerful AI technologies, OpenAI offers comprehensive AI development services for businesses looking to leverage conversational AI and machine learning.
Their collaboration with industry leaders has allowed OpenAI to expand its offerings, making its AI models accessible for various applications—from customer service to content generation. OpenAI remains a top contender in the AI development field.
5. Microsoft Azure AI
Microsoft Azure AI offers one of the most powerful cloud-based platforms for AI development technology. Azure's suite of AI services includes machine learning, cognitive services, and AI-powered analytics. This makes it easy for businesses to integrate AI solutions into their existing infrastructure.
With Azure AI, companies can build sophisticated AI models for tasks like natural language processing, computer vision, and decision-making. Microsoft continues to innovate with new AI technologies, solidifying its place among the top AI development companies in 2024.
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6. NVIDIA
NVIDIA has long been a leader in hardware, but its AI development services are now gaining significant recognition. NVIDIA’s AI technologies are widely used in areas like autonomous driving, healthcare, and robotics. The company specializes in deep learning and artificial neural networks, which makes their AI models incredibly powerful.
The NVIDIA platform supports AI research and development, enabling companies to build, train, and deploy AI solutions more efficiently. Their commitment to accelerating AI innovation places them firmly in the top ranks of AI companies worldwide.
7. Accenture AI
As a global consulting leader, Accenture offers end-to-end AI development solutions for businesses across sectors. They leverage their expertise in AI and analytics to help companies design and deploy custom AI models. Accenture's AI services focus on automating business processes, enhancing customer interactions, and optimizing supply chains.
With a comprehensive approach that covers everything from strategy to implementation, Accenture continues to be a trusted partner for enterprises seeking cutting-edge AI solutions. Their use of the latest AI development technology makes them a prominent player in the industry.
8. Baidu AI
Baidu, China’s leading search engine company, has heavily invested in AI research and development. Baidu AI offers powerful AI solutions that include speech recognition, autonomous driving, and machine translation. Their AI technologies are highly regarded in fields like natural language processing and image recognition.
With an advanced set of AI models, Baidu AI is expanding its reach beyond China, offering innovative AI development services for businesses worldwide. Their contributions to AI in healthcare and autonomous driving make them a notable contender in 2024.
9. SAP Leonardo
SAP Leonardo offers a wide array of AI development services, focusing on data-driven solutions for businesses. Their platform integrates AI technologies like machine learning, blockchain, and IoT, allowing businesses to harness the full power of digital transformation. SAP’s AI models are designed to optimize operations, improve customer service, and create smarter supply chains.
The company's focus on delivering real-time AI solutions ensures that businesses can remain agile and competitive in an ever-changing marketplace. SAP Leonardo remains a top choice for enterprises seeking comprehensive AI services.
10. H2O.ai
H2O.ai is an AI cloud platform that offers companies access to some of the most sophisticated AI models in the industry. Specializing in automated machine learning (AutoML), H2O.ai empowers companies to develop AI solutions without needing extensive coding expertise. Their platform is ideal for businesses that want to build AI technologies rapidly and efficiently.
H2O.ai’s AI development technology is particularly popular in finance, healthcare, and retail, where quick decision-making is crucial. Their innovative approach to AI development has earned them a spot among the top AI companies in 2024.
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Conclusion
The AI development industry is filled with pioneering companies leading the charge in innovation, automation, and optimization. Each company mentioned here excels in different areas of AI, offering unique AI development solutions to address complex challenges in business and technology.
Whether you’re looking for custom AI models, advanced AI technologies, or scalable AI development services, these companies stand out as the best in the field. Among them, Shamla Tech continues to make strides with its AI-powered applications and commitment to client success. With AI development technology advancing rapidly, these companies are set to shape the future in 2024 and beyond.
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jessica8311 · 4 months
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Make Money Online Easily Using AI
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Can AI make money online for me? This question arose a lot in your mind whenever you heard about the mastery of AI and ChatGPT.
I am sure you might have faced the same question at some point or the other.
After so many explorations, we can say for sure you can make money with AI and ChatGPT.
AI tools are flooded in the market enormously, which gives you an unprecedented opportunity to generate cash. The best part is that anyone can start their own business or become a content writer despite being non-tech-savvy.
In today’s digital age, artificial intelligence (AI) is transforming the way we live and work. One of the most exciting opportunities that AI offers is the potential to make money online easily. Whether you’re looking for a side hustle or a full-time income, AI can help you achieve your financial goals. In this blog, we’ll explore some of the most effective ways to leverage AI for online income generation.
1. Freelance Work with AI Tools
Content Creation
AI-powered tools like GPT-4 can help you create high-quality content quickly and efficiently. As a freelance writer, you can use these tools to generate articles, blog posts, and social media content for clients. Platforms like Upwork and Fiverr are great places to start offering your AI-enhanced writing services.
Graphic Design
AI tools like Canva and Adobe Sensei can assist you in creating stunning graphics and designs without needing advanced skills. By offering graphic design services on freelance platforms, you can cater to businesses and individuals looking for visually appealing content.
2. Developing and Selling AI Models
Custom AI Solutions
If you have a background in data science or machine learning, you can develop custom AI models for businesses. Many companies are willing to pay for tailored AI solutions that can optimize their operations, enhance customer experience, or provide valuable insights.
Pre-Trained AI Models
You can also create and sell pre-trained AI models on platforms like Hugging Face and ModelPlace. These models can range from natural language processing to computer vision applications, catering to a wide range of industries.
3. Blogging and Affiliate Marketing
Niche Blogging
Starting a blog in a niche you’re passionate about can be a lucrative venture. Use AI tools like Jasper (formerly Jarvis) to generate engaging blog content and optimize it for search engines. This will help you attract more visitors to your site.
Affiliate Marketing
Monetize your blog by promoting products and services related to your niche. Join affiliate programs through networks like Amazon Associates or ShareASale, and use AI-powered tools to analyze trends and identify the best products to promote.
4. Creating and Selling Online Courses
Course Development
With the increasing demand for online education, creating and selling online courses is a profitable endeavor. Use AI tools like Synthesia to create engaging video content, and platforms like Teachable or Udemy to host and sell your courses.
AI-Driven Tutoring
AI-driven tutoring platforms like Squirrel AI or Content Technologies can help you develop personalized learning experiences for students. By offering your expertise through these platforms, you can earn a steady income while helping others learn.
5. E-commerce and Dropshipping
Product Research
AI tools like Helium 10 and Jungle Scout can help you identify profitable products to sell online. Use these tools to conduct market research and find trending items that have high demand and low competition.
Automation
Running an e-commerce business requires managing multiple tasks. Use AI-powered tools for inventory management, customer service, and marketing automation to streamline your operations and maximize profits. Platforms like Shopify and Oberlo can help you set up and manage your online store efficiently.
6. Investing with AI
Stock Trading
AI-powered trading platforms like QuantConnect and Alpaca provide tools and algorithms to help you make informed investment decisions. These platforms can analyze vast amounts of data to identify profitable trading opportunities and automate your trading strategies.
Cryptocurrency Trading
Similarly, AI tools like CryptoHopper and 3Commas can assist you in trading cryptocurrencies. These platforms use advanced algorithms to predict market trends and execute trades on your behalf, helping you capitalize on the volatile nature of the crypto market.
What is the Best Way to Learn AI and Make Money Online?
Are you too excited to earn Money with AI?
But need to learn how to use it?
Join our three-hour session be10x session.
We believe AI won’t replace you but makes you 10X faster.
In the Be10x AI Tool Workshop, you will learn AI tools and ChatGPT from the IIT Kharagpur graduates Aditya Goenka and Aditya Kachave. The Be10x team has highly qualified experts with experience running multiple eight-figure companies. These workshops are specially designed for the working profession and require no prior technical knowledge.
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