OpenAI DevDay: Opening Keynote
TLDRSam Altman opened the first-ever OpenAI DevDay in San Francisco, highlighting the company's growth and the AI industry's impact on the city. He discussed the successful launch of ChatGPT and GPT-4, the integration of voice and vision capabilities, and the introduction of DALL-E 3. With 2 million developers on their API and a significant user base, OpenAI has become a leading AI platform. Altman introduced GPT-4 Turbo, which offers extended context length, increased control, better world knowledge, new modalities, customization, and higher rate limits. The pricing for GPT-4 Turbo was significantly reduced, making it more accessible. The event also featured the launch of GPTs, tailored versions of ChatGPT for specific purposes, and the Assistants API, simplifying the creation of custom assistant experiences. Microsoft's CEO, Satya Nadella, discussed the partnership with OpenAI, emphasizing the importance of infrastructure and developer support. The conference concluded with a demonstration of the new text-to-speech model and a commitment to gradual deployment of AI agents for safety and societal readiness.
Takeaways
- 🎉 OpenAI DevDay marked its first-ever event with a keynote by Sam Altman, highlighting the company's growth and future plans.
- 🚀 OpenAI has shipped significant updates including ChatGPT, GPT-4, voice and vision capabilities, and DALL-E 3, all contributing to its status as a leading AI platform.
- 📈 The company boasts an impressive user base and enterprise adoption, with 2 million developers and over 92% of Fortune 500 companies utilizing their API.
- 📚 GPT-4 Turbo, a new model, was announced with major improvements such as extended context length, enhanced control, better world knowledge, and integrated new modalities like DALL-E 3 and text-to-speech.
- 💡 OpenAI introduced Custom Models, offering tailored AI models for specific company needs, including full modification of the model training process.
- 🔒 They are doubling the rate limits for GPT-4 customers and introduced a Copyright Shield to protect customers from legal claims related to copyright infringement.
- 💰 GPT-4 Turbo pricing is set to be significantly lower than its predecessor, making advanced AI more accessible to developers.
- 🤖 The concept of 'GPTs' was introduced, which are specialized versions of ChatGPT that can be customized for specific tasks or purposes, allowing for more personalized AI experiences.
- 📝 OpenAI is focusing on gradual deployment of AI agents, emphasizing safety and iterative improvement to empower users and developers with smarter, more capable tools.
- 🤝 The partnership with Microsoft was highlighted, emphasizing the strategic collaboration in building advanced systems and making them available to developers.
- 🌐 The Assistants API was launched in beta, providing developers with tools to build more sophisticated and context-aware AI assistants into their applications.
Q & A
What is the significance of the first-ever OpenAI DevDay event?
-The first-ever OpenAI DevDay event is significant as it marks a milestone for the company, showcasing their advancements in AI technology, announcing new products and updates, and providing a platform for developers to learn and engage with the latest AI tools and models.
What was the date when ChatGPT was first shipped as a 'low-key research preview'?
-ChatGPT was first shipped as a 'low-key research preview' on November 30th of the previous year mentioned in the transcript.
What are the new capabilities that GPT-4 Turbo brings to the table?
-GPT-4 Turbo introduces several new capabilities including extended context length support up to 128,000 tokens, more control over model responses with features like JSON Mode and reproducible outputs, better world knowledge with an updated knowledge cutoff in April 2023, new modalities by integrating DALL-E 3 and a new text-to-speech model, customization options with fine-tuning and Custom Models, and higher rate limits for customers.
How does the new text-to-speech model improve the interaction with applications?
-The new text-to-speech model allows for the generation of incredibly natural-sounding audio from text, which can make applications more natural to interact with and more accessible. It also unlocks new use cases such as language learning and voice assistance.
What is the role of Microsoft in the partnership with OpenAI?
-Microsoft, led by Satya Nadella, is a key partner in providing the infrastructure support that OpenAI needs to build and deploy their advanced AI models. Microsoft is committed to building the best system for training and inference, ensuring that OpenAI can continue to push the frontiers of AI. Additionally, Microsoft uses OpenAI's technology to build their own products, like GitHub Copilot.
What are GPTs and how do they differ from the standard ChatGPT?
-GPTs are tailored versions of ChatGPT created for specific purposes. They combine instructions, expanded knowledge, and actions to provide more helpful, contextually relevant, and controllable assistance. GPTs can be customized and programmed through natural language, allowing users to create their own specialized AI agents for various tasks.
How does the new pricing model for GPT-4 Turbo impact developers?
-The new pricing model for GPT-4 Turbo is significantly cheaper than GPT-4, with a reduction by a factor of 3x for prompt tokens and 2x for completion tokens. This makes it more accessible to developers who want to build applications using the advanced capabilities of GPT-4 Turbo without incurring high costs.
What is the purpose of the Assistants API?
-The Assistants API is designed to make it easier for developers to build assistive experiences within their own applications. It includes features like persistent threads for managing conversation history, built-in retrieval, a code interpreter, and improved function calling.
How does the new GPT-4 Turbo model address the issue of long context tasks?
-GPT-4 Turbo supports up to 128,000 tokens of context, which is 16 times longer than the previous 8k context length. This extended context length allows the model to handle tasks that require processing of much longer text sequences, such as entire books or lengthy documents.
What is the GPT store and how does it benefit developers?
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How does the new model GPT-4 Turbo improve upon the previous model in terms of world knowledge?
-GPT-4 Turbo has an updated knowledge cutoff that extends up to April 2023, which is a significant improvement over the previous model whose knowledge was only up to date as of 2021. This ensures that the model has more current and relevant information about the world.
Outlines
🎉 Introduction and Overview of OpenAI's Achievements
The video script begins with a warm welcome and introduction by the host, followed by a round of applause for Sam Altman, a key figure at OpenAI. The event is OpenAI's first-ever DevDay, held in San Francisco, a city of significance to the company and the tech industry. The host expresses excitement about the community's energy and growth in the area. The summary of the past year's milestones includes the launch of ChatGPT, GPT-4, voice and vision capabilities, DALL-E 3, and the introduction of ChatGPT Enterprise. The host also shares impressive statistics about the number of developers using their API, Fortune 500 companies involved, and weekly active users on ChatGPT. The narrative emphasizes the organic growth through word of mouth and the importance of how people use AI, illustrated with several user stories highlighting the impact of AI in various personal and professional contexts.
🚀 Launch of GPT-4 Turbo and its Enhancements
The host delves into new announcements starting with the launch of GPT-4 Turbo, a new model addressing developers' feedback. Six major improvements are highlighted: extended context length supporting up to 128,000 tokens, increased control with features like JSON Mode and reproducible outputs, better world knowledge with an updated knowledge cutoff in April 2023, new modalities integrating DALL-E 3 and a new text-to-speech model, customization options with fine-tuning and a Custom Models program, and higher rate limits with doubled tokens per minute for GPT-4 customers. Additionally, a copyright shield is introduced to protect customers from legal claims related to copyright infringement.
🤖 Customization and Control with GPTs and Assistants API
The speaker discusses the expansion of fine-tuning to the 16K version of the model and introduces an experimental access program for GPT-4 fine-tuning. A new Custom Models program is announced for companies wanting a completely customized model. The rate limits are doubled, and a copyright shield is introduced to protect against legal infringement claims. The pricing of GPT-4 Turbo is revealed to be significantly cheaper than its predecessor, with a new pricing model that is more than 2.75 times cheaper. The assistant-like experiences are made easier to build with the new Assistants API, which includes persistent threads, built-in retrieval, a code interpreter, and improved function calling. The API aims to simplify the creation of custom assistant experiences and is set to go into beta.
🤝 Microsoft Partnership and Empowering Developers
A special guest, Satya Nadella, CEO of Microsoft, is welcomed on stage to discuss the partnership with OpenAI. Nadella reflects on the early stages of collaboration and the evolution of Azure's infrastructure to support the unique workloads of AI models. He emphasizes Microsoft's commitment to providing the best systems for developers and highlights their own use of OpenAI's models in products like GitHub Copilot. The discussion underscores the shared mission of empowering every person and organization through AI, the importance of safety, and the future of the partnership in building transformative AI technologies.
🌟 Enhancing ChatGPT and Introducing GPTs for Customization
The host announces that ChatGPT now uses the improved GPT-4 Turbo model, with up-to-date knowledge and the ability to browse the web, write and run code, analyze data, and generate images. The previously annoying model picker has been removed for a streamlined experience. The main focus is on the future of AI and the introduction of GPTs, which are tailored versions of ChatGPT for specific purposes. These GPTs can be customized with instructions, expanded knowledge, and actions, and published for others to use. The host demonstrates how easy it is to create a GPT without coding, simply by conversing with it, and shows examples of GPTs created by partners like Code.org and Canva.
📈 Live Demo and GPTs for Streamlining Tasks
Jessica Shieh, a solutions architect at OpenAI, presents a live demo of a GPT built in collaboration with Zapier. This GPT allows users to perform actions across thousands of applications. Jessica demonstrates how the GPT can access and interact with her calendar, identify scheduling conflicts, and even send a message to Sam on her behalf, all through natural language prompts and with a focus on security and user permission.
🛠️ Building and Publishing Custom GPTs
The host guides the audience through the process of creating a custom GPT designed to assist startup founders with business advice. The GPT builder is used to define the GPT's purpose, name, and to upload relevant content, such as a lecture transcript, to tailor the advice given. The host emphasizes the ability to add custom actions and configure the GPT's behavior through a conversational interface. The process results in a GPT that can provide concise and constructive feedback to founders on their business ideas.
🔗 GPT Store and Assistants API for Developers
The host reveals plans for a GPT store, launching later in the month, where developers can list their GPTs for others to discover and use. The store will feature the best and most popular GPTs, ensuring they adhere to OpenAI's policies. Revenue sharing is announced for creators of highly useful and frequently used GPTs. The Assistants API is introduced to simplify the development of agent-like experiences within apps, with capabilities like persistent threads, retrieval, code interpretation, and improved function calling. A demo showcases how these features can be used to quickly create an assistant that can manage state, leverage external tools, and invoke functions to enhance user interactions within an app.
🎁 Closing Remarks and Thanks to the OpenAI Team
The host concludes the presentation by expressing gratitude towards the OpenAI team for their hard work and coordination. He reiterates the belief in AI as a technological and societal revolution, emphasizing the potential of AI to empower individuals and elevate humanity. The host shares excitement for the future of AI and the capabilities that will be introduced, inviting the audience to join them in shaping the new future with AI technology. The event ends on a high note with thanks to the attendees and a look forward to next year's conference.
Mindmap
Keywords
💡OpenAI DevDay
💡ChatGPT
💡GPT-4
💡DALL-E 3
💡API
💡Enterprise Customers
💡GPT-4 Turbo
💡JSON Mode
💡Reproducible Outputs
💡Custom Models
💡Rate Limits
Highlights
Welcome to the first-ever OpenAI DevDay with Sam Altman.
OpenAI's home, San Francisco, is crucial for the tech industry.
ChatGPT was launched as a research preview on November 30th of the previous year.
GPT-4, the most capable model, was launched in March.
ChatGPT now has voice and vision capabilities, allowing it to see, hear, and speak.
DALL-E 3, the world's most advanced image model, was recently launched.
ChatGPT Enterprise offers enhanced security, privacy, and access to GPT-4 for enterprise customers.
2 million developers are building on OpenAI's API, and over 92% of Fortune 500 companies use OpenAI products.
OpenAI has reached 100 million weekly active users on ChatGPT through word of mouth.
GPT-4 Turbo, a new model, is being launched with significant improvements.
GPT-4 Turbo supports up to 128,000 tokens of context, which is 16 times longer than the previous 8k context.
JSON Mode ensures model responses are in valid JSON, and function calling has been improved for developers.
Reproducible outputs feature allows for consistent model behavior through a seed parameter.
World knowledge in GPT-4 Turbo is updated to include information up to April 2023.
DALL-E 3 and a new text-to-speech model are being integrated into the API.
Custom Models program allows companies to work closely with OpenAI researchers to create tailored models.
GPT-4 Turbo is priced at 1¢ per 1,000 prompt tokens and 3¢ per 1,000 completion tokens, significantly cheaper than GPT-4.
GPTs, tailored versions of ChatGPT for specific purposes, are introduced for easier customization and use.
The Assistants API includes persistent threads, built-in retrieval, and a working Python interpreter to simplify building assistive agents.
OpenAI is committed to gradual iterative deployment to address safety issues with AI.