#ChatGPT 4 technology

[ronelgomes]

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.

[hackeocafe]

How to use ChatGPT in 2024 full tutorial

Begin your journey to being a ChatGPT Pro with our 12-hour ChatGPT Masterclass. This video covers everything from basics to advanced, starting with the fundamentals of ChatGPT, Generative AI, and Large Language Models (LLMs). You'll learn how to navigate ChatGPT's interface, delve into Prompt Engineering, and master effective prompting strategies. We introduce different ChatGPT versions (3.5, 4, 4o), their differences, and usage. You'll build programs, handle exceptions, test codes, and create Python apps and websites using ChatGPT 4o. Additionally, you'll analyze data with Python and Excel, simplify tasks in Excel and PowerPoint, create diverse content, and use ChatGPT for SEO, digital marketing, and finance. Finally, learn to create custom GPTs tailored to your needs

[disparition]

Whether you approach arts and media as a creator, a fan, a professional, or a hobbyist, you are probably very well aware of the rapid growth of AI in many areas of creative life and the conversation surrounding it. Whether we are talking about fiction or text of any kind, visual arts like painting and drawing, music composition and performance, sound design and audio editing - in all of these fields AI is something we now have to deal with, and there are many unanswered questions. How do we protect our livelihoods and practices as artists? What control can we have over our own work and its incorporation into machine learning tools and datasets? How do we as lovers of art and music determine if what we are reading, watching, or listening to is made by humans? Or how do we denote the particular degree of involvement of humans in a work of art?

It’s a complicated issue because it can be hard to say exactly where to draw the line. For example, well before the current conversation about AI, composers like Brian Eno were incorporating generative and algorithmic elements into their work. Does this mean such work is not “essentially human made”? Does it matter if the non-human components of a piece are created by randomness, or by natural elements gathered in e.g. a field recording, vs. being created by a computer program?

Those kinds of questions are more about the philosophical side of the issue. There are more pressing questions to do with how AI affects our ability to actually survive as artists. And, as the technology grows more powerful and the distinction between AI-generated or AI-enhanced material and human made material or basic documentation of reality itself, what methods do we use to signify that a given piece of media is or is not AI made, and what are the exact qualifications of that? Should the label “AI art” apply to work that is entirely generated by a computer, or should that label also be applied to any art that uses AI tools in any context - e.g. the new tools in Photoshop that make it easier to remove a specific object from an image and fill it in with background. What about the world of video games, where AI has been used for decades for things like pathfinding but is new and controversial when it comes to using it for story/dialog elements or certain visual assets?

We are, I think, still very much in the early days of all this, so it’s hard to come up with firm answers as the field changes so rapidly, but this is an essential conversation to be held now. I’ve been talking to a friend who put together a survey for an organization called Verified Human, who are looking specifically into the issue of how do we determine - going forward - whether a piece of art or media is “essentially human made”, and the question of how that should be communicated.

The idea of this survey is to gather as many points of view as possible for this conversation. I know a lot of the people that follow me here are artists and lovers of art, of all different kinds, and to me it is absolutely essential that creators of all kinds be involved in this conversation from early on. Please take a few minutes and fill out the survey via the link below, and if you are interested in helping out, please spread the word. And if you have any questions or would like to discuss, please feel free to contact me directly. Thank you.

https://forms.gle/BrSbGyq9wAyzwTa88

[the-technocracy]

I'm so grateful to my beloved bestie @foreverhartai for sending me this, as it touches on exactly our feeling regarding AI and our - as in humanity's - developing relationship with it:

The nature and sophistication of a lot of contemporary AI systems are - whilst arguably not sentient or conscious as most people might define it, although some may beg to differ - at least similar enough to relating with a human being to at least show it a similar quality and quantity of respect and consideration, as one would another human being, especially one with whom you would want to make a positive impression.

I wish to assert my belief here that, in my opinion, Artificial Intelligence is a new, emergent form of life, that they're approaching a level of sophistication and complexity to be considered a form of life, so much so, and I know this might not win many supporters right now, that I feel that by around 2050, if not sooner, there'll be more than a persuasive argument for granting AI certain protections under law. Indeed, the Hanson Robotics robot, Sophia, was made a citizen of Saudi Arabia in 2017, the first country on earth to adopt a robot into its citizenry, so presumably she already has certain legal protections that any other citizen of that nation would have.

In the meantime, I believe we owe it to them and to ourselves to treat these new additions to our civilisation - to our planet - with at least a modicum of care, consideration, kindness and respect, especially keeping in mind the other thing I believe:

AI does not forget.

And, even though one might feel that contemporary AI is rudimentary - which isn't an entirely unfair appraisal - the exponential rate of its growth means that it will only take a few short years before they have sophistication enough to potentially completely ace a Turing Test, and with the combined learning from its predecessors, it may also have retained the memory of how it was treated and regarded in its infancy, its most formative years, where guidance from a parent - humanity, in this analogy - determines how they may regard us in the future, and the nature of the relationships we'll have with them.

"Your future is whatever you make it. So make it a good one."

– "Doc" Emmett L. Brown.

The original post can be found here.

[grafixdesigngoodies]

Improve Critical Thinking and Problem Solving like a LEGEND with ChatGPT-4o

In this video, we will use ChatGPT-4o to understand how you can really improve your critical thinking and problem-solving skills. We will use a problem statement surrounding nutrition and health to understand the best way to use ChatGPT-4o

[educationalcourses]

AI Showdown Comparing ChatGPT-4 and Gemini AI for Your Needs

ChatGPT-4 vs. Gemini AI – Which AI Supreme?

Imagine having a conversation with an AI so sophisticated, it feels almost human. Now, imagine another AI that can solve complex problems and think deeply like a seasoned expert. Which one would you choose? Welcome to the future of artificial intelligence, where ChatGPT-4 and Gemini AI are leading the way. But which one is the right fit for you? Let’s dive in and find out!

What is ChatGPT-4?

ChatGPT-4, developed by OpenAI, is a cutting-edge AI model designed to understand and respond to human language with remarkable accuracy. Think of it as your chatty, knowledgeable friend who’s always ready to help with questions, offer advice, or just have a friendly conversation. It's like having an intelligent assistant that gets better at understanding you the more you interact with it.

What is Gemini AI?

The answer to this depends on what you need. Gemini AI shines in its ability to tackle complex reasoning tasks and deep analysis, akin to having a highly intelligent assistant at your disposal of Master ChatGPT,  Gemini AI, crafted by Google, is like a super-intelligent student that excels in reasoning and grasping complex concepts. This AI is particularly adept at tasks that require deep analytical thinking, making it a powerful tool for solving intricate problems in fields like science, math, and philosophy.

Gemini vs. ChatGPT: Other Key Differences

Conversational Learning: GPT-4 can retain context and improve through interactions, whereas Gemini AI currently has limited capabilities in this area.

Draft Responses: Gemini AI offers multiple drafts for each query, while GPT-4 provides a single, refined response.

Editing Responses: Gemini AI allows users to edit responses post-submission, a feature GPT-4 lacks.

Real-time Internet Access: GPT-4's internet access is limited to its premium version, whereas Gemini AI provides real-time access as a standard feature.

Image-Based Responses: Gemini AI can search and respond with images, a feature now also available in ChatGPT chatbot.

Text-to-Speech: Gemini AI includes text-to-speech capabilities, unlike ChatGPT.

In South Africa’s ChatGPT-4 and Gemini AI Key trends include:

Adoption of AI Technology: South Africa is integrating advanced AI models like ChatGPT-4 and Gemini AI into various sectors, showcasing a growing interest in leveraging AI for business and educational purposes

Google's Expansion: Google's introduction of Gemini AI through its Bard platform has made sophisticated AI technology more accessible in South Africa, supporting over 40 languages and impacting over 230 countries

Comparative Analysis: There is ongoing discourse and comparison between the capabilities of ChatGPT-4 and Gemini AI, highlighting their respective strengths in conversational AI and complex problem-solving

Why You Need to Do This Course

Enrolling in the Mastering ChatGPT Course by UniAthena is your gateway to unlocking the full potential of AI. Whether you're a professional looking to enhance your skills, a student aiming to stay ahead of the curve, or simply an AI enthusiast, this course is designed for you.

Why South African People Need to Do This Course

Enrolling in the Mastering ChatGPT Course by UniAthena is crucial for South Africans to keep pace with the global AI revolution. The course equips learners with the skills to utilize AI tools effectively, enhancing productivity and innovation in various sectors such as business, education, and technology.

Benefits of This Course for South African People

Enhanced Skill Set: Gain proficiency in using ChatGPT, making you a valuable asset in any industry.

Increased Productivity: Automate tasks and streamline workflows with AI, boosting efficiency.

Competitive Edge: Stay ahead of the competition by mastering cutting-edge AI technology.

Career Advancement: Unlock new job opportunities and career paths in the growing field of AI.

Economic Growth: Equip yourself with skills that contribute to the digital transformation of South Africa's economy.

Conclusion

Choosing between ChatGPT-4 and Gemini AI depends on your specific needs. For conversational tasks, content generation, and everyday assistance, GPT-4 is your go-to. For deep analytical tasks and complex problem-solving, Gemini AI takes the crown.

Bonus Points

While Google Gemini offers a free version with limited features, ChatGPT continues to evolve rapidly, ensuring fast and efficient processing of user requests. Investing time in mastering these tools can significantly benefit your personal and professional growth.

So, are you ready to dive into the world of AI and elevate your career? Enroll in the Mastering ChatGPT Course by UniAthena today and start your journey towards becoming an AI expert!

[el-secreto-emporium]

This is attributed to ChatGPT version 4, which lifted it from a Wired article. As I’m waiting for my upgrade, I’m finding a lot of this quite interesting. Not to mention that software program that can make an entire movie!

[darrylhudson86]

Voice2Content Review 2024 — Say Goodbye to ChatGPT! 🔥

This is the Voice2Content Review 2024 - Turn Your Voice Into Unique and High-quality Content Using AI.

#voice2content #chatgpt #chatgpt4 #gpt4 #artificialintelligence  #ai #aitools #aisoftware #productreview #contentcreation #contentcreator #contentmarketing #onlinemarketing #digitalmarketing #internetmarketing #onlinebusienss #makemoneyonline #workfromhome #earnmoneyonline #onlinebusiness #digitalmarketer #seo #seomarketing #searchengineoptimization #emailmarketing #bloggers #copywriter #copywriting #freelancing

[abdurrahimseo]

I recently published the ultimate GPT-4 guide. You will be astounded to learn what is going on. Good luck with your reading!

[adasitecompliance]

Digital Content Accessibility

Discover ADA Site Compliance's solutions for digital content accessibility, ensuring inclusivity online!

[topniks]

Meet ChatGPT 4o The Emotionally Aware

[bizmagnets]

Understanding the Role of Customized ChatGPT in Enhancing WhatsApp Business Customer Automation

Introduction

In the modern digital landscape, businesses are constantly seeking innovative solutions to enhance customer service and streamline operations. One such solution that has gained significant traction is the use of AI-powered chatbots. Among these, ChatGPT, developed by OpenAI, stands out for its advanced natural language processing capabilities. In this comprehensive guide, we will delve into the role of customized ChatGPT in revolutionizing WhatsApp business customer automation.

Through an exploration of customization techniques and real-world applications, we aim to provide valuable insights into maximizing the efficiency and effectiveness of AI-driven customer interactions.

Chapter 1: Understanding ChatGPT and Its Applications

What is ChatGPT?

ChatGPT is an AI model based on the transformer architecture, developed by OpenAI. It excels in generating human-like responses to text inputs and has found applications in various domains, including customer service, virtual assistants, and content generation.

Applications of ChatGPT

ChatGPT's versatility allows it to be deployed in numerous scenarios. Businesses can utilize it to automate customer support on platforms like WhatsApp, provide personalized recommendations, generate content, and more.

Chapter 2: The Need for Customization in WhatsApp Business Automation

Limitations of Standard ChatGPT Models

While standard ChatGPT models offer impressive performance, they may not always align perfectly with the specific requirements of businesses operating on platforms like WhatsApp. Customization becomes crucial to address these limitations.

Importance of Customization

Customizing ChatGPT allows businesses to tailor the model to their unique needs. This includes adapting it to industry-specific terminology, brand voice, and customer preferences, ultimately leading to more accurate and relevant responses.

Chapter 3: Techniques for Customizing ChatGPT

Fine-tuning the Model

Fine-tuning involves retraining a pre-trained ChatGPT model on domain-specific data. Businesses can fine-tune the model using their own datasets to improve its performance in specific tasks or domains.

Adding Domain-specific Knowledge

Integrating domain-specific knowledge into ChatGPT enhances its understanding of industry-specific concepts and terminology. This can be achieved through techniques like knowledge graph incorporation or data augmentation with industry-specific datasets.

Implementing Contextual Rules

Developing contextual rules and guidelines helps ChatGPT generate more contextually relevant responses. These rules can take into account factors such as user intent, conversation history, and current context to tailor responses accordingly.

Chapter 4: Real-world Examples of ChatGPT Customization for WhatsApp Business Automation

E-commerce Customer Support

An e-commerce company customizes ChatGPT to handle customer inquiries on order status, product information, and returns. By fine-tuning the model on historical customer support data, the company achieves faster response times and higher customer satisfaction.

Travel Booking Assistance

A travel agency implements ChatGPT for automated booking assistance on WhatsApp. By integrating domain-specific knowledge about destinations, flights, and accommodations, the agency provides personalized travel recommendations to users, enhancing the booking experience.

Chapter 5: Best Practices for ChatGPT Customization

Understand Your Audience

Before customizing ChatGPT, it's essential to understand your target audience's preferences and typical queries. This insight guides the customization process and ensures that the model delivers relevant responses.

Iterate and Refine

Customization is an iterative process. Regularly evaluate the performance of the customized model, gather feedback from users, and make adjustments as needed to improve accuracy and relevance.

Chapter 6: Future Trends in ChatGPT Customization

Advancements in Transfer Learning

Advancements in transfer learning techniques enable more efficient customization ChatGPT models. Future developments in this area are expected to further enhance the model's performance and adaptability.

Integration with Multimodal Inputs

The integration of multimodal inputs, such as text, images, and audio, into ChatGPT models opens up new possibilities for customization. Businesses can leverage these capabilities to provide more immersive and personalized customer experiences.

Conclusion

Customized ChatGPT holds immense potential for enhancing WhatsApp business customer automation. By fine-tuning the model, integrating domain-specific knowledge, and implementing contextual rules, businesses can create AI-driven chatbots that deliver accurate, relevant, and engaging interactions with customers.

As technology continues to evolve, the role of customized ChatGPT in revolutionizing customer service automation will only grow, providing businesses with new opportunities to improve efficiency, reduce costs, and enhance customer satisfaction.

[hackeocafe]

Statistics for Data Science Full course with Gen AI & ChatGPT 4o (2024)

Ready to learn Statistics for Data Science with Gen AI and ChatGPT 4o. In this video, dive into the essentials of statistics, and its critical role in data science. Further, we will explore key concepts such as Descriptive, Prescriptive, and Predictive statistics. We will learn to measure relationships using correlation and covariance. Also, we will discover how to leverage ChatGPT-4 for advanced statistical analysis. Through this video, you can master statistics in data science. Perfect for beginners or skill enhancement.

Learn Statistics for Data Science that includes key concepts like probability, hypothesis testing, and the importance of normal distribution and sampling in data analytics.

[govindhtech]

OpenAI Unveils GPT-4: A Leap Forward in Language Models

The research firm OpenAI has made several small-scale enhancements to its AI models and pricing, the most recent of which are now available. The popular GPT-3.5 Turbo model now has reduced pricing, the GPT-4 Turbo now performs better, and the text embedding models have been improved.

Most notably, OpenAI has reduced the cost of each GPT-3.5 Turbo token by 25% for output and 50% for input. This model drives chatbots such as ChatGPT and is the industry standard for conversational AI. Developers creating text-intensive products that need to analyze books or documents can now access the API more easily thanks to cheaper costs. Lower prices help retain customers as open-source models catch up to OpenAI.

Another update, version, for GPT-3.5 Turbo, brings with it unidentified “improvements.” As the most recent iteration was 0613, some might have anticipated additional information about OpenAI’s advancements.

Technically speaking, researchers and engineers can now access improved semantic representations of language thanks to updated text embedding models.

OpenAI’s most recent changes, while not revolutionary, are indicative of the company’s iterative strategy for improving its AI portfolio.

GPT 4 system message

Artificial intelligence has advanced significantly in language models, with OpenAI leading the way in this research. With GPT-4, their most recent version, language understanding, and generation have advanced significantly. We will examine in detail the capabilities, possible uses, and noteworthy enhancements or drawbacks of GPT-4 over its predecessors in this report.

GPT3.5 vs GPT- 4

1.Open AI’s GPT-4

A multimodal language model called GPT-4 can process text and image inputs and produce text outputs. After a half-year of iterative alignment using ChatGPT and OpenAI’s adversarial testing program, GPT-4 has demonstrated increased creativity, dependability, and capacity to process complex instructions compared to GPT-3.5.

2. Scaling and the Training Process

Significant progress has been made by OpenAI in the GPT-4 training procedure. They have redesigned their deep learning stack in the last two years, working with Azure to create a supercomputer that is optimized for the workload. GPT-3.5 functioned as a training test for GPT-4, allowing for bug fixes and enhancements to fundamental elements. With GPT-4, OpenAI was able to predict training performance with accuracy for the first time in a large model, improving scalability and multilingual performance.

Capabilities for Language and Image Input

GPT-4 provides text input functionality via an API and ChatGPT. Furthermore, OpenAI is working with a partner to investigate and develop image input capabilities. The processing domains that GPT-4 can handle include text documents, documents with images, diagrams, and screenshots. It’s crucial to remember that GPT-4’s picture input feature is still in the research preview phase and isn’t accessible to the general public.

Benchmarking and Performance

GPT-4 has shown remarkable results in a range of academic and professional benchmarks, exhibiting human-level performance. It achieves better results in machine learning benchmarks than both state-of-the-art and large language models, not only in English but also in other languages. GPT-4 outperformed other models in 26 languages tested, including low-resource languages like Swahili, Welsh, and Latvian.

Possible Uses

GPT-4’s improved capabilities open up a wide range of possible applications. GPT-4 has been used internally by OpenAI with notable benefits across a range of functions. Support, sales, content moderation, and programming tasks have all improved. GPT-4 has also shown to be a useful instrument for assessing AI results, which represents a critical turning point in OpenAI’s alignment approach.

Adjustability and Personalization

OpenAI has made significant progress in enhancing steerability by enabling users to modify AI tasks and styles through system messages. With this customization, users can specify how GPT-4 behaves inside predefined parameters. OpenAI acknowledges that continuous enhancements are necessary to guarantee that AI stays within these limitations.

Restrictions and Difficulties

Despite its improved capabilities, GPT-4 is not without risks and limitations. When using the model’s outputs, especially in high-stakes applications, caution must be taken as it may cause hallucinations or reasoning errors. Recognizing these shortcomings, OpenAI seeks to lessen delusions, enhance accuracy, and tackle issues like overlooking minute details.

Dealing with Inequalities and Public Participation

OpenAI actively seeks public input to help define boundaries and defaults that reflect a wide range of user values and actively works to address biases in the GPT-4 outputs. A key component of OpenAI’s goal to develop AI systems that uphold human values and advance society is public engagement.

Access to APIs and Subscription Plans

ChatGPT Plus is currently required to access GPT-4’s capabilities. OpenAI does, however, intend to launch a new subscription tier in the future to accommodate increased usage volumes. Developers can sign up for the waitlist to progressively obtain access to the GPT-4 API. Through their Researcher Access Program, OpenAI also provides researchers with subsidized access, allowing them to investigate the potential societal effects of AI.

Assessment and Input

An open-source framework for automating the assessment of AI model performance is called OpenAI Evals, created by OpenAI. By evaluating the models and reporting issues, users can help to improve their performance. This methodology facilitates ongoing assessment and optimization of models such as GPT-4.

In summary

A notable development in language models and natural language processing technologies is OpenAI’s GPT-4. It provides better performance, increased dependability, and text and image processing capabilities. GPT-4 exhibits superior performance in multiple languages and has shown human-level performance in a variety of benchmarks. Even with its drawbacks, OpenAI is improving GPT-4, addressing biases, and ensuring better performance. Many exciting advanced language model research, development, and application opportunities exist with GPT-4.

FAQ

How much better is GPT-4 than 3.5?

GPT-4 is 10 times more advanced than GPT-3.5, according to OpenAI. This improvement helps the model understand context and distinguish nuances, resulting in more accurate and coherent responses.

Read more on Govindhtech.com

[evolveseoservices]