OpenAI DevDay Highlights: GPT-4 Turbo, Assistants API, and More
Discover the groundbreaking announcements at OpenAI DevDay, including GPT-4 Turbo, Assistants API, voice modality, and the partnership with Microsoft. Explore the future of AI technology and its impact on society.
Main Topics
1. OpenAI DevDay Highlights2. OpenAI's Product Milestones3. Impact on Users4. Testimonials
OpenAI's Product Milestones
- ChatGPT Research Preview: ChatGPT was introduced as a low-key research preview on November 30th, a year ago.
- GPT-4 Launch: In March, OpenAI launched GPT-4, which is still the most capable AI model in the world.
- Voice and Vision Capabilities: OpenAI added voice and vision capabilities to ChatGPT, enabling it to see, hear, and speak.
- DALL?E 3: The launch of DALL?E 3, the world's most advanced image model, which can be used within ChatGPT.
- ChatGPT Enterprise: OpenAI introduced ChatGPT Enterprise, offering enterprise-grade security and privacy, faster GPT-4 access, longer context windows, and more.
- Developer Adoption: Approximately 2 million developers are building on OpenAI's API for various use cases, with over 92% of Fortune 500 companies utilizing their products.
- User Base: ChatGPT now boasts around 100 million weekly active users, all gained through word of mouth.
Impact on Users
- User Testimonials: A video showcases users sharing their experiences with ChatGPT, highlighting its versatility and usefulness in various aspects of life.
Testimonials
- Users express gratitude for ChatGPT's assistance in writing in different languages, boosting confidence, assisting with creative endeavors, helping with academic questions, providing accessibility features for individuals with disabilities, and enhancing productivity.- Users highlight how ChatGPT has made their lives easier, saved them time, and improved their overall quality of life.
Conclusion
OpenAI's DevDay demonstrates the company's remarkable achievements and the positive impact of its AI models on a diverse range of users. The testimonials reflect the real-world applications and significance of AI technology in improving lives and empowering individuals.05:00-10:00
Main Topics
1. Introduction of GPT-4 Turbo
2. Key Improvements in GPT-4 Turbo
3. Enhancements for Developers
4. Expanding World Knowledge
5. New Modalities and Applications
6. Customization and Fine-Tuning
Introduction of GPT-4 Turbo
- Exciting Launch: OpenAI announces the launch of a new model, GPT-4 Turbo, amid enthusiastic applause.
Key Improvements in GPT-4 Turbo
- Extended Context Length: GPT-4 Turbo supports an impressive 128,000 tokens of context, providing significantly longer context capabilities, making it 16 times longer than GPT-4.
- Enhanced Model Accuracy: The model exhibits increased accuracy over longer contexts, ensuring better responses.
- More Control: Developers now have more control over the model's responses and outputs through features like JSON load, improved function calling, and reproducible outputs.
- Reproducible Outputs: The introduction of reproducible outputs allows developers to achieve consistent model behavior by specifying a seed parameter.
- Log Probs View: A feature to view log probabilities in the API will be rolled out in the coming weeks.
Enhancements for Developers
- Improved Function Calling: GPT-4 Turbo can handle multiple function calls simultaneously, making it more versatile in following instructions.
Expanding World Knowledge
- Knowledge Retrieval: OpenAI introduces knowledge retrieval, allowing users to incorporate external knowledge from documents or databases into their projects.- Knowledge Cutoff Update: The model's knowledge is updated, with GPT Turbo having knowledge of the world up to April 2023, aiming to avoid outdated information.
New Modalities and Applications
- Integration of DALL?E 3: DALL?E 3, GPT-4 Turbo with Vision, and a new text-to-speech model are integrated into the API, opening up creative possibilities.
- Examples of Use Cases: Examples include programmatically generating images and designs, creating Diwali cards, image analysis for the visually impaired, and generating natural-sounding audio from text.
- Whisper V3: OpenAI introduces Whisper V3, an open-source speech recognition model with improved performance across languages, soon to be available in the API.
Customization and Fine-Tuning
- Fine-Tuning Success: Fine-tuning has proven successful for GPT-3.5, offering customization options for developers.The introduction of GPT-4 Turbo and its various enhancements promise to provide developers with more powerful and flexible tools to create innovative applications and solutions.10:00-15:00
Main Topics
1. Introduction of GPT-4 Turbo
2. Fine-Tuning and Custom Models
3. Higher Rate Limits4. Copyright Shield
5. Pricing Updates
6. Future Improvements and Partnerships
Introduction of GPT-4 Turbo
- Expansion of Model: OpenAI announces the expansion of GPT-4 Turbo to the 16k version of the model.
- Invitation for Fine-Tuning: Active fine-tuning users are invited to apply for the GPT-4 fine-tuning experimental access program.
Fine-Tuning and Custom Models
- Custom Models Program: OpenAI introduces the Custom Models program, where researchers will collaborate with companies to create customized models tailored to specific domains and use cases.
Higher Rate Limits
- Increased Token Limits: OpenAI doubles the tokens per minute for established GPT-4 customers, making it easier to utilize the model effectively.
- Copyright Shield: OpenAI introduces Copyright Shield to defend customers and cover legal costs related to copyright infringement claims for ChatGPT Enterprise and the API.
Pricing Updates
- Pricing Concerns: Developers express the need for more affordable pricing to build applications, and OpenAI responds by reducing the cost of GPT-4 Turbo.
- New Pricing Structure: GPT-4 Turbo is considerably cheaper than GPT-4, with a 3X reduction for prompt tokens and a 2X reduction for completion tokens.
- Focus on Speed: OpenAI acknowledges the importance of speed and promises to work on making GPT-4 Turbo faster in the near future.
- Cost Reduction for GPT-3.5 Turbo 16k: The cost of GPT-3.5 Turbo 16k is reduced, making it more affordable than the previous model.
Future Improvements and Partnerships
- Anticipating Future Improvements: OpenAI expresses excitement about bringing improvements to everyone and hints at future enhancements.
- Special Guest - Satya Nadella: The CEO of Microsoft, Satya Nadella, joins the event to discuss the partnership between OpenAI and Microsoft.The announcement covers a range of updates and initiatives, from model expansion to pricing changes, reflecting OpenAI's commitment to making AI accessible and affordable for a wider audience.
Main Topics
1. Microsoft CEO Satya Nadella on the Partnership
2. Microsoft's Commitment to Supporting OpenAI
3. Future Collaboration and Vision
Microsoft CEO Satya Nadella on the Partnership
- Longstanding Partnership: Satya Nadella recalls the partnership's evolution, highlighting the progress made since the initial Azure credits request.
- Building Infrastructure: Microsoft has been actively involved in building a comprehensive infrastructure to support the demanding workloads of OpenAI models.
- Transformation of Azure: Azure's infrastructure has rapidly changed to accommodate large and data parallel training jobs, providing the best system for model development.
Microsoft's Commitment to Supporting OpenAI
- Developers as a Priority: Microsoft recognizes the importance of developers and is committed to building products, like GitHub Copilot, on top of OpenAI APIs.
- Availability of GitHub Copilot: GitHub Copilot will be made available to attendees, showcasing Microsoft's dedication to developers and partners.
- Infrastructure and API Support: Microsoft aims to provide the best infrastructure in Azure with API support to empower developers and expedite product development through the Azure marketplace.
Future Collaboration and Vision
- Support for OpenAI's Roadmap: Microsoft pledges to provide top-notch systems and computing power to aid OpenAI in pushing forward with their roadmap.
- Empowerment Through AI: Both OpenAI and Microsoft share the mission of empowering every individual and organization through AI, with a focus on broad dissemination of AI benefits.
- Safety Matters: Safety is a shared priority, with both organizations committed to ensuring safety measures are integrated into AI development.
- Partnership Strength: Sam Altman expresses excitement about the strong partnership between OpenAI and Microsoft, considering it the best in the tech industry.
The discussion between Sam Altman and Satya Nadella underscores the significance of their collaboration in advancing AI technology and making it accessible to a broader audience.
Main Topics
1. Introduction to GPTs (Gradual Iterative Deployment)
2. Customizable GPTs for Specific Purposes
3. Examples of GPT Usage
4. Live Demonstration of a GPT5. Empowering Developers to Build Agent-Like Experiences6. Security and Permissions in GPTs
Introduction to GPTs (Gradual Iterative Deployment)
- Future of AI: Emphasizing the need for smarter, more personalized, and customizable AI.
- AI Agents: Introducing the concept of AI agents and their potential benefits.
- Gradual Deployment: Stressing the importance of gradual iterative deployment to address safety challenges.
Customizable GPTs for Specific Purposes
- Introduction of GPTs: Unveiling GPTs as tailored versions of ChatGPT designed for specific purposes.
- Customization: Highlighting the flexibility of building custom GPTs with instructions, expanded knowledge, and actions.
- Accessibility: Making it easy for users to program GPTs through language-based interactions.
Examples of GPT Usage
- Code.org Lesson Planner GPT: Demonstrating how GPTs can enhance educational experiences by helping teachers explain complex concepts in a creative way.
- Canva GPT for Designing: Showcasing a GPT that assists in designing based on natural language descriptions.
- Zapier GPT for Actions: Introducing a GPT by Zapier that performs actions across various applications, unlocking integration possibilities.
Live Demonstration of a GPT
- Zapier GPT Demo: A live demonstration of how the Zapier GPT can perform actions, provide information, and interact with applications.
Empowering Developers to Build Agent-Like Experiences
- Developer-Friendly Approach: OpenAI's commitment to enabling developers to build agent-like experiences into their own applications.
- Creating Custom Actions: Evolving plug-ins into custom actions for GPTs to extend functionality.
Security and Permissions in GPTs
- Security Measures: Ensuring GPTs prioritize security and seek permission before performing actions or sharing data.The presentation introduces GPTs as a powerful tool for customization and showcases practical examples of their use. It also emphasizes the importance of security and permissions in the GPT ecosystem, empowering developers to create agent-like experiences.
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Main Topics
1. Practical Demonstration of Creating a GPT
2. Building a GPT for Start-up Founders
3. GPT Configuration and Capabilities
4. Previewing and Testing the GPT
Practical Demonstration of Creating a GPT
- Introduction: Emphasizing the potential of GPTs and their versatility.
- Demonstration: Showcasing a live demonstration of creating a GPT for a specific purpose.
- Examples: Mentioning that the presented examples are just glimpses of what's possible with GPTs.
Building a GPT for Start-up Founders
- Purpose: Explaining the objective of building a GPT to help start-up founders with advice.
- Name Selection: Choosing a name for the GPT, "start-up mentor."
- Defining the Purpose: Providing the GPT with initial information and intentions for its use.
- Configuring the GPT: Demonstrating how to instruct the GPT and add content from lectures for reference.
GPT Configuration and Capabilities
- Configuration Tab: Overview of the configuration tab, including enabling capabilities and adding custom actions.
- Uploading Content: Adding content by uploading lecture transcripts to enhance the GPT's knowledge.
- Instruction Tweaks: Making minor adjustments to the instructions for the GPT.
Previewing and Testing the GPT
- Testing the GPT: Initiating a conversation with the GPT to see its responses and capabilities in action.
- User Query: Presenting a common question for the GPT to answer.
- GPT's Response: Observing the GPT's response based on its knowledge and configuration.The demonstration illustrates how GPTs can be customized for specific purposes and configured to provide valuable information and assistance. It highlights the simplicity of creating GPTs and their potential to assist users effectively.
Main Topics
1. Creating and Sharing GPTs
2. GPT Store and Revenue Sharing
3. Bringing GPT Concepts to the API
4. Introduction to the Assistants API
Creating and Sharing GPTs
- Demonstration: Demonstrating how to create a GPT for personalized use.
- Private Sharing: Explaining the option to keep GPTs private or share them publicly.
- GPT Store: Announcing the upcoming GPT Store and its features, including revenue sharing.
GPT Store and Revenue Sharing
- GPT Store Introduction: Describing the purpose and functionality of the GPT Store.
- Listing GPTs: Mentioning the ability to list GPTs in the store and emphasizing compliance with policies.
- Revenue Sharing: Highlighting the revenue sharing system for creators of useful GPTs.
Bringing GPT Concepts to the API
- API Integration: Emphasizing the developer community's efforts to integrate agent-like experiences using the API.
- Examples: Citing real-world examples like Shopify Sidekick, Discord's Clyde, and Snap's My AI.
- Challenges: Discussing the complexities and time required to build custom assistant experiences.
Introduction to the Assistants API
- Developer Experience: Discussing improvements in the developer experience for building assistive agents.
- Creating an Assistant: Demonstrating the ease of creating a new assistant with the Assistants API.
- Primitives: Explaining the core elements of threads and messages in the Assistants API.
- Integration: Showcasing how developers can integrate the assistant into their app and create personalized user experiences.
outlines the introduction of GPTs and the GPT Store, highlights the ease of creating personalized GPTs, and transitions to introducing the Assistants API, emphasizing its role in simplifying the development of assistive agents.
Main Topics
1. Integration of Assistive Agents
2. Function Calling Enhancement
3. Retrieval Capability4. Stateful API
5. Code Interpreter Introduction
6. Voice Modality Introduction
Integration of Assistive Agents
- Demonstration: Demonstrating the ease of integrating specialized assistants within applications.
- Function Calling: Highlighting the power of function calling and its enhanced features.
Function Calling Enhancement
- Enhanced Function Calling: Discussing the improved function calling that guarantees JSON output with no added latency and the ability to invoke multiple functions at once.
- Real-time Interaction: Showcasing how real-time interactions enable a natural language interface to interact seamlessly with app components and features.
Retrieval Capability
- Retrieval Introduction: Introducing the concept of retrieval and its role in enhancing the assistant's knowledge.
- Parsing Documents: Demonstrating the assistant's ability to parse information from uploaded documents, including PDFs, and its potential applications.
Stateful API
- Stateful API: Explaining the advantages of the stateful API, such as eliminating the need to resend entire conversation histories and providing visibility into API operations.
Code Interpreter Introduction
- Code Interpreter: Introducing the Code Interpreter capability and its significance in enabling the AI to write and execute code, including generating files.
- Use Cases: Discussing various use cases where Code Interpreter can be employed, such as complex financial calculations.
Voice Modality Introduction
- Voice Modality: Previewing the introduction of voice modality as a new way to interact with custom assistants, expanding possibilities for user engagement.The transcript organizes the presentation into nested topics, highlighting the integration of assistive agents, enhancements in function calling, retrieval capabilities, the stateful API, the Code Interpreter introduction, and the introduction of voice modality. It emphasizes the practical applications and benefits of each feature.
Main Topics
1. Voice Modality Introduction
2. Six Unique Voices
3. Function Calling with Real Actions
4. Generosity with API Credits
5. The Future of AI Agents
6. Overview of OpenAI's Announcements
7. Gratitude for OpenAI Team
8. The Empowerment and Future of AI
Voice Modality Introduction
- Voice Input: Introduction to a swift app that takes microphone input for voice interaction.
- Whisper and SSI: Mention of Whisper for voice-to-text conversion and SSI for speech synthesis.
Six Unique Voices
- Diverse Voices: Highlighting the availability of six unique voices in the API, each capable of speaking multiple languages.
Function Calling with Real Actions
- Real Actions: Demonstrating the assistant's ability to connect to the internet and perform real actions, such as awarding API credits to attendees.
The Future of AI Agents
- AI Agents: Discussing the evolution of GPTs and assistants into more capable AI agents over time.
- Gradual Iterative Deployment: Emphasizing the importance of gradual deployment and user feedback.
Overview of OpenAI's Announcements
- Announcements: Summarizing the key announcements, including GPTs, the Assistants API, GPT-4 Turbo, and the partnership with Microsoft.
Gratitude for OpenAI Team
- Acknowledging the Team: Expressing gratitude to the OpenAI team for their hard work and coordination.
The Empowerment and Future of AI
- AI Empowerment: Discussing the belief that AI will empower individuals and society on an unprecedented scale, leading to greater creativity and possibilities.The transcript outlines the main topics covered in the presentation, focusing on the introduction of voice modality, the capabilities of the API, generosity in distributing API credits, the future of AI agents, OpenAI's announcements, appreciation for the team, and the vision of AI empowerment and its transformative potential.
Main Topics
1. The Power of AI Superpowers
2. Anticipation for the Future
3. Invitation to Return
The Power of AI Superpowers
- Superpowers: Expressing excitement about the potential of AI to grant people superpowers.
Anticipation for the Future
- Future Architecting: Encouraging anticipation and collaboration for the future created together with AI technology.
Invitation to Return
- Future Launches: Extending an invitation to return in the future for more advanced and impactful AI developments.The transcript primarily focuses on conveying the idea of AI granting superpowers and the anticipation for the collaborative future it holds. It concludes by inviting the audience to look forward to future developments.