#GPT4Turbo

[fiulo]

🚀 Dive into the future of AI with my latest post on GPT-4 Turbo! Uncover how its vast memory & diverse tools are setting a new standard in tech. Get ready for smoother, smarter, and more intuitive AI interactions!

Read more: https://fiulo.github.io/blog/gpt-4-turbo-and-the-future-of-ai.html

[mlearningai]

The cost efficiency of GPT-4 Turbo is unreal.

OpenAI Store is the place to be for devs!

#GPT4turbo #OpenAI #GPTs

[govindhtech]

Utilize Azure AI Studio To Create Your Own Copilot

Microsoft Azure AI Studio

With Microsoft Azure AI Studio now broadly available, organisations may now construct their own AI copilots in the fast evolving field of AI technology. Organisations can design and create their own copilot using AI Studio to suit their specific requirements.

AI Studio speeds up the generative AI development process for all use cases, enabling businesses to leverage AI to create and influence the future.

An essential part of Microsoft’s copilot platform is Azure AI Studio. With Azure-grade security, privacy, and compliance, it is a pro-code platform that allows generative AI applications to be fully customised and configured. Utilising Azure AI services and tools, copilot creation is streamlined and accelerated with full control over infrastructure thanks to flexible and integrated visual and code-first tooling and pre-built quick-start templates.

With its simple setup, management, and API support, it eases the idea-to-production process and assists developers in addressing safety and quality concerns. The platform contains well-known Azure Machine Learning technology, such as prompt flow for guided experiences for speedy prototyping, and Azure AI services, such as Azure OpenAI Service and Azure AI Search. It is compatible with code-first SDKs and CLIs, and when demand increases, it can be scaled with the help of the AI Toolkit for Visual Studio Code and the Azure Developer (AZD) CLI.

AI Studios

Model Selection and API

Find the most appropriate AI models and services for your use case.

Developers can create intelligent multimodal, multilingual copilots with customisable models and APIs that include language, voice, content safety, and more, regardless of the use case.

More than 1600 models from vendors such as Meta, Mistral, Microsoft, and OpenAI are available with the model catalogue. These models include GPT 4 Turbo with Vision, Microsoft’s short language model (SLM) Phi3, and new models from Core42 and Nixtla. Soon to be released are models from NTT DATA, Bria AI, Gretel, Cohere Rerank, AI21, and Stability AI. The most popular models that have been packed and optimised for use on the Azure AI platform are those that Azure AI has curated. In addition, the Hugging Face collection offers a wide range of hundreds of models, enabling users to select the precise model that best suits their needs. And there are a tonne more options available!

With the model benchmark dashboard in Azure AI Studio, developers can assess how well different models perform on different industry-standard datasets and determine which ones work best. Using measures like accuracy, coherence, fluency, and GPT similarity, benchmarks evaluate models. Users are able to compare models side by side by seeing benchmark results in list and dashboard graph forms.

Models as a Platform (MaaP) and Models as a Service (MaaS) are the two model deployment options provided by the model catalogue. Whereas MaaP offers models deployed on dedicated virtual machines (VMs) and paid as VMs per-hour, MaaS offers pay-as-you-go per-token pricing.

Before integrating open models into the Azure AI collection, Azure AI Studio additionally checks them for security flaws and vulnerabilities. This ensures that model cards have validations, allowing developers to confidently deploy models.

Create a copilot to expedite the operations of call centers

With the help of AI Studio, Vodafone was able to update their customer care chatbot TOBi and create SuperAgent, a new copilot with a conversational AI search interface that would assist human agents in handling intricate customer queries.

In order to assist consumers, TOBi responds to frequently asked queries about account status and basic technical troubleshooting. Call centre transcripts are summarised by SuperAgent, which reduces long calls into succinct summaries that are kept in the customer relationship management system (CRM). This speeds up response times and raises customer satisfaction by enabling agents to rapidly identify new problems and determine the cause of a client’s previous call. All calls are automatically transcribed and summarised by Microsoft Azure OpenAI Service in Azure AI Studio, giving agents relevant and useful information.

When combined, Vodafone’s call centre is managing about 45 million customer calls monthly, fully resolving 70% of them. The results are outstanding. Customer call times have decreased by at least one minute on average, saving both customers’ and agents’ crucial time.

Create a copilot to enhance client interactions

With the help of AI Studio, H&R Block created AI Tax Assist, “a generative AI experience that streamlines online tax filing by enabling clients to ask questions during the workflow.”

In addition to assisting people with tax preparation and filing, AI Tax Assist may also provide tax theory clarification and guidance when necessary. To assist consumers in maximising their possible refunds and lowering their tax obligations, it might offer information on tax forms, deductions, and credits. Additionally, AI Tax Assist responds dynamically to consumer inquiries and provides answers to free-form tax-related queries.

Construct a copilot to increase worker output

Leading European architecture and engineering firm Sweco realised that employees needed a customised copilot solution to support them in their work flow. They used AI Studio to create SwecoGPT, their own copilot that offers advanced search, language translation, and automates document generation and analysis.

The “one-click deployment of the models in Azure AI Studio and that it makes Microsoft Azure AI offerings transparent and available to the user,” according to Shah Muhammad, Head of AI Innovation at Sweco, is greatly appreciated. Since SwecoGPT was implemented, almost 50% of the company’s staff members have reported greater productivity, which frees up more time for them to concentrate on their creative work and customer service.

Read more on Govindhtech.com

[phonemantra-blog]

OpenAI, a leading research and development company in the field of artificial intelligence, has released a significant update to its GPT-4 Turbo model. This update, aimed at enhancing the model's capabilities in writing, reasoning, and coding, is now available for paid subscribers of ChatGPT Plus, Team, Enterprise, and API. This upgrade marks a significant step forward for OpenAI's large language model (LLM) technology, offering users a more powerful and versatile tool for various tasks. Let's delve deeper into the specifics of this update and explore its potential impact. OpenAI Unveils Upgraded GPT-4 Turbo An Expanded Knowledge Base: Accessing Up-to-Date Information One of the key improvements in the upgraded GPT-4 Turbo is the expansion of its data library. The model now boasts a knowledge cutoff date of April 2024, signifying its access to more current information compared to the previous version. This expanded knowledge base has the potential to significantly impact the quality of ChatGPT's responses, making them more accurate, relevant, and reflective of present-day trends and information. For instance, if a user queries ChatGPT about a recent scientific discovery or a breaking news event, they can expect a response that incorporates the latest developments in that field. This expanded access to information equips ChatGPT to deliver more comprehensive and insightful responses across various domains. Concise and Natural Conversation: A Focus on User Experience Another noteworthy aspect of the update is the focus on improving ChatGPT's conversational language abilities. Users can now expect more concise and natural language in the model's responses. Previously, some users criticized the AI for being verbose and lacking a natural flow in its communication. The upgraded model addresses this issue by generating clearer responses, more to the point, and closer to how humans interact through language. Imagine asking ChatGPT to summarize a complex research paper. The upgraded model will deliver a concise yet informative summary, eliminating unnecessary jargon and focusing on the key points. This improvement creates a more engaging and user-friendly experience for those interacting with ChatGPT, especially when dealing with complex topics. Beyond Writing: Potential Enhancements in Reasoning and Coding While OpenAI hasn't disclosed specific examples of the model's improved math, reasoning, and coding capabilities, benchmark scores suggest a significant leap forward in these areas. This hints at the model's potential to tackle tasks that require in-depth logical analysis, problem-solving skills, and basic coding expertise. For instance, users might be able to pose complex mathematical problems to ChatGPT and receive not just solutions but also explanations for the steps involved. Similarly, the model could potentially assist with writing basic code snippets or debugging simple code errors. While the full extent of these enhancements remains to be seen, the potential for improved reasoning and coding skills opens up exciting possibilities for users who require assistance with tasks that go beyond natural language generation. Unanswered Questions and Room for Improvement The update, while showcasing progress, leaves some questions unanswered. Here are a few areas where further development might be beneficial: Natural Language Processing Benchmarks: The update doesn't show a significant improvement in natural language processing (NLP) benchmarks. This suggests room for further refinement in future iterations, particularly in areas like sentiment analysis and discourse understanding. Concrete Examples of Enhanced Reasoning and Coding: Specific examples demonstrating the model's improved capabilities in reasoning and coding would be helpful for users to grasp the true potential of these enhancements. FAQs: Q: What is GPT-4 Turbo? A: GPT-4 Turbo is an advanced AI model developed by OpenAI, known for its enhanced writing, reasoning, and coding skills. Q: What improvements does the update bring? A: The update focuses on refining the model's conversational language abilities, expanding its data library for more up-to-date responses, and improving the overall user experience. Q: Is GPT-4 Turbo available to all users? A: The update is currently available for paid subscribers of ChatGPT Plus, Team, Enterprise, and API. Q: How does GPT-4 Turbo benefit users? A: Users can expect more natural and concise responses, access to the latest information, and a more engaging interaction experience. Q: Are there any future developments planned? A: OpenAI continues to work on refining its AI models, aiming for further advancements in the future.

[gptgratis]

Innovación IA: Descubre el nuevo GPT-4 Turbo

OpenAI ha revelado GPT-4 Turbo, un modelo de chatbot avanzado con un nuevo límite de conocimiento, capacidad para manejar indicaciones más largas y precios más accesibles para desarrolladores.

[nowadais]

GPT-4 Turbo & GPT-3.5 Turbo: Updated Kids on the Block

New era of AI with #GPT4Turbo - balance of speed, ethics, and innovation.

#ArtificialIntelligence #TechUpdate #OpenAI #MicrosoftAI

[god-of-prompt]

As an entrepreneur constantly on the lookout for cutting-edge tools, I was thrilled to discover the Custom GPT Toolkit from God of Prompt. This toolkit isn't just another AI chatbot software; it's a powerhouse for business growth and digital marketing strategy. With its no-code chatbot creation feature, I've been able to deploy Custom ChatGPT bots that engage my audience, enhance customer service, and automate key marketing tasks.

The toolkit's integration with OpenAI's GPTs technology means I'm leveraging the latest in machine learning for my business communications. The AI Assistant feature has been a game-changer for lead generation, helping me tap into new markets with precision targeting. It's impressive how it simplifies complex tasks like SEO content creation, making my website more visible and driving organic traffic.

Moreover, the toolkit aids in brand identity development and streamlines ad copywriting. It's like having an in-house AI-powered marketing agency! The insights I've gained have been invaluable in crafting effective marketing strategies and planning for long-term business success.

For anyone in digital marketing, e-commerce, or managing a startup, the Custom GPT Toolkit is a goldmine. It boosts workflow efficiency, ensures high-quality content creation, and opens up new avenues for revenue generation. I highly recommend it for anyone looking to elevate their brand's online presence.

#customgpt#customgpttoolkit#Gpt4turbo#ChatGPTPlus#chatgpt4#artificialintelligence#gptstore#openAI#godofprompt#AI#GPTBuilder#GPT#gpt35

[evartology]

OpenAI ‘s Chat GPT Meets Canva: A Creative AI GPTs Fusion

Link + A Guide to Its Use. 3 easy steps

#canvadesign #canvagpt #GPTS #GPTstore #GPT4Turbo

[fiulo]

Shields up! 🛡️ OpenAI is pioneering a new frontier of AI legal protection with their Copyright Shield initiative. 🚀

This bold move promises to defend enterprise users against copyright claims stemming from AI-generated content. No more walking on eggshells for businesses exploring AI's potential! 😅

Check out my new blog post to get the inside scoop on how this shield works, who it protects, and the ripple effects it could have on AI innovation and copyright law. 💫

In this post, I break down the implications for content creators, developers, companies and look at it from a legal lens. Plus, how it stacks up against existing solutions. 🤓

There's a lot to unpack with this game-changing move, but one thing's for sure, OpenAI is resolute about enabling responsible AI creation. The future looks bright and secure! 🌞

So check out the link below and learn more about OpenAI's bold new Copyright Shield and how it might affect you! 🛡️ What do you think about this move?

🔗 https://blog.fiulo.com/unveiling-openais-copyright-shield

[mlearningai]

OpenAI Step Back. GPT 4 vs GPT 4 Turbo

Why GPT-4 is Still More Expensive Than GPT-4 Turbo

#GPTs #OpenAI #GPT4 #gpt4turbo

[govindhtech]

Announcing GPT-4o: OpenAI’s new flagship model on Azure AI

Today, ChatGPT is beginning to push out GPT-4o’s text and image capabilities. OpenAI is launching GPT-4o in the free tier and offering up to five times higher message limits to Plus customers. In the upcoming weeks, ChatGPT Plus will launch an early version of a new Voice Mode that integrates GPT-4o.

GPT-4, OpenAI’s newest deep learning scaling milestone. GPT-4 is a large multimodal model that handles image and text inputs and outputs text. While less proficient than humans in many real-world situations, it performs at human levels on professional and academic benchmarks. It scores in the top 10% of simulated bar exam takers, while GPT-3.5 scores in the bottom 10%. After six months of progressively aligning GPT-4 utilising learning from our adversarial testing programme and ChatGPT, OpenAI achieved their best-ever results on factuality, steerability, and guardrail refusal.

Over two years, OpenAI updated their deep learning stack and co-designed a supercomputer with Azure for their workload. For the system’s first “test run,” OpenAI trained GPT-3.5 last year. Some flaws were resolved and their theoretical underpinnings enhanced. Thus, OpenAI’s GPT-4 training run was unprecedentedly steady, becoming OpenAI’s first huge model whose training performance OpenAI could precisely anticipate. As OpenAI focus on dependable scalability, OpenAI want to improve our technique to foresee and plan for future capabilities earlier, which is crucial for safety.

GPT-4 text input is coming to ChatGPT and the API (with a waiting).OpenAI is working with one partner to make picture input available to more people. OpenAI also open-sourcing OpenAI Evals, their platform for automatic AI model performance review, so anyone may report model flaws to help us improve.

Capabilities

With its ability to receive any combination of text, audio, and image as input and produce any combination of text, audio, and image outputs, GPT-4o (o stands for “omni”) is a step towards far more natural human-computer interaction. It has a response time of up to 320 milliseconds on average while responding to audio inputs, which is comparable to a human’s response time(opens in a new window) during a conversation. It is 50% less expensive and significantly faster in the API, and it matches GPT-4 Turbo speed on text in non-English languages while maintaining performance on text in English and code. When compared to other models, it excels particularly at visual and audio understanding.

You could speak with ChatGPT using Voice Mode with average latency of 2.8 seconds (GPT-3.5) and 5.4 seconds (GPT-4) before GPT-4o. Voice Mode does this by using a pipeline made up of three different models: GPT-3.5 or GPT-4 takes in text and outputs text, a third basic model translates that text back to audio, and a simple model transcribes audio to text. The primary source of intelligence, GPT-4, loses a lot of information as a result of this process. It is unable to directly perceive tone, numerous speakers, background noise, or laughter or emotion expression.

By using it, OpenAI were able to train a single new model end-to-end for text, vision, and audio, which means that the same neural network handles all inputs and outputs. Since GPT-4o is their first model to incorporate all of these modalities, OpenAI have only begun to explore the capabilities and constraints of the model.

Evaluations of models

It surpasses previous standards in terms of multilingual, audio, and visual capabilities, while achieving GPT-4 Turbo-level performance in terms of text, reasoning, and coding intelligence.

Tokenization of language

These 20 languages were selected to serve as an example of how the new tokenizer compresses data across various language families.

Gujarati 4.4x fewer tokens (from 145 to 33)

હેલો, મારું નામ જીપીટી-4o છે. હું એક નવા પ્રકારનું ભાષા મોડલ છું. તમને મળીને સારું લાગ્યું!

Telugu 3.5x fewer tokens (from 159 to 45)

నమస్కారము, నా పేరు జీపీటీ-4o. నేను ఒక్క కొత్త రకమైన భాషా మోడల్ ని. మిమ్మల్ని కలిసినందుకు సంతోషం!

Tamil 3.3x fewer tokens (from 116 to 35)

வணக்கம், என் பெயர் ஜிபிடி-4o. நான் ஒரு புதிய வகை மொழி மாடல். உங்களை சந்தித்ததில் மகிழ்ச்சி!

Marathi 2.9x fewer tokens (from 96 to 33)

नमस्कार, माझे नाव जीपीटी-4o आहे| मी एक नवीन प्रकारची भाषा मॉडेल आहे| तुम्हाला भेटून आनंद झाला!

Hindi 2.9x fewer tokens (from 90 to 31)

नमस्ते, मेरा नाम जीपीटी-4o है। मैं एक नए प्रकार का भाषा मॉडल हूँ। आपसे मिलकर अच्छा लगा!

Urdu 2.5x fewer tokens (from 82 to 33)

ہیلو، میرا نام جی پی ٹی-4o ہے۔ میں ایک نئے قسم کا زبان ماڈل ہوں، آپ سے مل کر اچھا لگا!

Arabic 2.0x fewer tokens (from 53 to 26)

مرحبًا، اسمي جي بي تي-4o. أنا نوع جديد من نموذج اللغة، سررت بلقائك!

Persian 1.9x fewer tokens (from 61 to 32)

سلام، اسم من جی پی تی-۴او است. من یک نوع جدیدی از مدل زبانی هستم، از ملاقات شما خوشبختم!

Russian 1.7x fewer tokens (from 39 to 23)

Привет, меня зовут GPT-4o. Я — новая языковая модель, приятно познакомиться!

Korean 1.7x fewer tokens (from 45 to 27)

안녕하세요, 제 이름은 GPT-4o입니다. 저는 새로운 유형의 언어 모델입니다, 만나서 반갑습니다!

Vietnamese 1.5x fewer tokens (from 46 to 30)

Xin chào, tên tôi là GPT-4o. Tôi là một loại mô hình ngôn ngữ mới, rất vui được gặp bạn!

Chinese 1.4x fewer tokens (from 34 to 24)

你好，我的名字是GPT-4o。我是一种新型的语言模型，很高兴见到你!

Japanese 1.4x fewer tokens (from 37 to 26)

こんにちわ、私の名前はGPT−４oです。私は新しいタイプの言語モデルです、初めまして

Turkish 1.3x fewer tokens (from 39 to 30)

Merhaba, benim adım GPT-4o. Ben yeni bir dil modeli türüyüm, tanıştığımıza memnun oldum!

Italian 1.2x fewer tokens (from 34 to 28)

Ciao, mi chiamo GPT-4o. Sono un nuovo tipo di modello linguistico, è un piacere conoscerti!

German 1.2x fewer tokens (from 34 to 29)

Hallo, mein Name is GPT-4o. Ich bin ein neues KI-Sprachmodell. Es ist schön, dich kennenzulernen.

Spanish 1.1x fewer tokens (from 29 to 26)

Hola, me llamo GPT-4o. Soy un nuevo tipo de modelo de lenguaje, ¡es un placer conocerte!

Portuguese 1.1x fewer tokens (from 30 to 27)

Olá, meu nome é GPT-4o. Sou um novo tipo de modelo de linguagem, é um prazer conhecê-lo!

French 1.1x fewer tokens (from 31 to 28)

Bonjour, je m’appelle GPT-4o. Je suis un nouveau type de modèle de langage, c’est un plaisir de vous rencontrer!

English 1.1x fewer tokens (from 27 to 24)

Hello, my name is GPT-4o. I’m a new type of language model, it’s nice to meet you!

Availability of the model

OpenAI’s most recent endeavour to expand the capabilities of deep learning this time towards usefulness in real-world applications is GPT-4o. Over the past two years, they have put a lot of effort into increasing efficiency at every stack layer. OpenAI are able to provide a GPT-4 level model to a much wider audience as a first fruit of this study. Iteratively, the capabilities of GPT-4o will be released (with enhanced red team access commencing immediately).

The API lets developers use GPT-4o for text and vision. Compared to GPT-4 Turbo, GPT-4o has five times higher rate limitations, is half the price, and is two times faster. In the upcoming weeks, OpenAI intend to make support for GPT-4o’s enhanced audio and video capabilities available via the API to a select number of reliable partners.

OpenAI, known for ChatGPT, has advanced huge language models with GPT-4o. Multimodal processing and response to text, visuals, and audio make it stand out. The salient characteristics of GPT-4o are as follows:

Essential features:

Multimodal: This is GPT-4o‘s most important feature. It is capable of processing and reacting to audio, pictures, and text. Consider giving it an audio clip and asking it to summarise the conversation, or showing it a picture and asking it to compose a poem about it.

Enhanced performance: According to OpenAI, GPT-4o performs better than its predecessors in a number of domains, including text production, audio processing, image identification, and complicated text interpretation. Limitations and safety:

Focus on safety: By screening training data and putting safety measures in place, OpenAI puts safety first. Additionally, in order to find any potential problems like bias or manipulation, they have carried out risk assessments and external testing.

Restricted distribution: Currently, GPT-4o’s text and image input/output features are accessible via OpenAI’s API. There may be a subsequent release with audio capability.

Concerns

Particular skills: It’s uncertain how much GPT-4o can really do when it comes to multimodal reasoning or complicated audio problems.

Long-term effects: It’s too soon to say what practical uses and possible downsides GPT-4o may have.

With great pleasure, Microsoft announces the release of OpenAI’s new flagship model, GPT-4o, on Azure AI. This innovative multimodal model raises the bar for conversational and creative AI experiences by combining text, visual, and audio capabilities. GPT-4o is currently available for preview in the Azure OpenAI Service and supports both text and images.

A breakthrough for Azure OpenAI Service’s generative AI

A change in the way AI models engage with multimodal inputs is provided by GPT-4o. Through the seamless integration of text, graphics, and music, GPT-4o offers a more immersive and dynamic user experience.

Highlights of the launch: Quick access and what to anticipate

Customers of Azure OpenAI Service can now, in two US locations, explore the vast potential of GPT-4o via a preview playground in Azure OpenAI Studio. The model’s potential is shown by this first version, which focuses on text and visual inputs, opening the door for additional features like audio and video.

Effectiveness and economy of scale

The GPT-4o is designed with efficiency and speed in mind. Its sophisticated capacity to manage intricate queries with less resources can result in improved performance and cost savings.

Possible applications to investigate using GPT-4o

The implementation of GPT-4o presents a multitude of opportunities for enterprises across diverse industries:

Improved customer service: GPT-4o allows for more dynamic and thorough customer assistance conversations by incorporating various data inputs.

Advanced analytics: Make use of GPT-4o’s capacity to handle and examine various data kinds in order to improve decision-making and unearth more profound insights.

Content innovation: Create interesting and varied content forms that appeal to a wide range of customer tastes by utilising GPT-4o’s generating capabilities.

Future advancements to look forward to: GPT-4o at Microsoft Build 2024

To assist developers in fully realising the potential of generative AI, Azure is excited to provide additional information about GPT-4o and other Azure AI advancements at Microsoft Build 2024.

Utilise Azure OpenAI Service to get started

Take the following actions to start using GPT-4o and Azure OpenAI Service:

Check out GPT-4o in the preview version of the Azure OpenAI Service Chat Playground.

If you don’t currently have access to Azure OpenAI Services, fill out this form to request access.

Find out more about the most recent improvements to the Azure OpenAI Service.

Learn about Azure’s responsible AI tooling with Azure AI Content Safety.

Read more on govindhtech.com

[govindhtech]

The Powerful Impact of Azure Generative AI on Accessibility

Azure generative AI enhances accessibility in six ways

Generative AI stands out in the quickly changing world of technology, particularly in its potential to improve the lives of those who are disabled. Unprecedented progress in this area has been made in the last year, spurring important developments in accessibility. Generative AI is a hot topic not only because of its widespread convenience but also because of its significant effects on productivity and the ability of people with disabilities to participate more fully in the activities they love.

The advancements made possible by state-of-the-art tools like Microsoft Copilot, which perfectly capture the transformative power of generative AI in making technology truly inclusive, are rooted in this sentiment. Azure generative AI is being applied widely and significantly to improve accessibility; Microsoft Copilot is at the forefront of this effort. Here are six noteworthy instances where Azure generative AI is having an impact:

Microsoft Copilot: Everyone’s go-to assistive technology At the vanguard of this revolution, Copilot, which is fueled by Microsoft Azure OpenAI Service, embodies the spirit of accessible assistive technology. Copilot and related generative AI tools are based on a straightforward but profound philosophy: accessibility is about customization to the needs of the individual. Copilot’s natural language processing capabilities make it easy for users to request or create adaptations that are tailored to their needs. Copilot demonstrates the inclusive potential of generative AI by helping people with various disabilities navigate color-coded charts and simplifying complex documents. Watch this video on Copilot and Accessibility to find out more.

Azure generative AI Vision assistant This smartphone app, which was created with and for the blind community, helps with everyday tasks like understanding your surroundings, reading the mail, and identifying objects. By utilizing the capabilities of Microsoft Azure GPT-4 Turbo in conjunction with Vision, Seeing AI can produce incredibly comprehensive descriptions of images. In addition, users can use Seeing AI’s natural language capabilities to communicate with it and ask inquiries concerning a picture or document.

Audio descriptions driven by AI Azure generative AI’s breakthroughs in GPT-4 Turbo with Vision open up a world of possibilities for improving video accessibility for people with low vision and blindness. More in-depth and easily understandable video descriptions are now possible thanks to improved computer vision capabilities. To express interest in our upcoming solution accelerator, please fill out this form if you’re interested in using computer vision to increase video accessibility within your company.

Augmentative and Alternative Communication (AAC)

Cboard, an AI for Accessibility grantee, uses Azure Neural Voices to add natural voices to their open-source picture board communication app. This advancement creates new opportunities for tailored communication, in conjunction with the use of Azure OpenAI to improve sentence structure.

Chatbots for mental health assistance The utilization of Azure OpenAI by iWill in India to develop chatbots for mental health services demonstrates the potential of artificial intelligence in providing essential services to marginalized communities. iWill makes use of human-in-the-loop, content safety filtering, and AI to make sure AI is used responsibly for users who are mentally ill or at risk.

Microsoft Azure AI Studio provides accessible AI development Microsoft is dedicated to enabling all developers, regardless of skill level, to work with AI. This dedication is evident in Azure AI Studio’s development and design, which was built with accessibility as a guiding concept. Disability activists say “nothing about us without us.” Enabling developers with disabilities to develop AI will help create the next wave of AI-driven accessibility solutions built by people with lived experience that can help more people.

NaturalReader served as the inspiration for customers

Through the use of Azure AI, NaturalReader, a Canadian AI text-to-speech service provider, has developed more realistic, lifelike voices and a useful mobile app, greatly improving educational accessibility for millions of students worldwide. This innovation doubled its global sales between 2022 and 2023 and attracted Ivy League student business. NaturalReader has reduced learning barriers by helping students with dyslexia and making educational materials more accessible and engaging. With a significant rise in daily users and app downloads, the company has successfully improved voice quality and accessibility at scale, highlighting the revolutionary effect of Azure AI on educational technology and the larger goal of ensuring that education is accessible to all.

Inspiration from a human: Paralympian Lex Gillette Paralympian Lex Gillette of Team USA had a conversation with Microsoft about how technology supports him on a daily basis. In addition to being the current long jump world record holder, he has won five Paralympic medals, four world titles in the long jump, and eighteen national titles. In the long jump, he is the only athlete who has ever cleared the 22-foot mark who is completely blind. They are looking forward to following Lex’s journey as he gets ready for the 2024 Olympic Games in Paris.

Come to the Microsoft Ability Summit with us Come learn more about the relationship between accessibility and Azure AI by attending the Microsoft Ability Summit on March 7, 2024. This free event will include talks about accessibility and artificial intelligence (AI), as well as co-design projects with EY and creative uses of AI to close the gap between people with and without disabilities.

Not only is generative AI a breakthrough in technology, but it also opens doors to inclusivity and empowerment. The possibilities are endless as they keep delving deeper and raising the bar for programs like Microsoft Copilot. The revolutionary effect that Azure AI has had on accessibility serves as a potent reminder of the positive effects that technology can have on people’s lives, especially for those who have the most difficulty gaining access to and using digital tools. Come along on this journey towards a future where technology genuinely makes the impossible possible, one that is more approachable and empowered.

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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.

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