OpenAI DevDay: Keynote Recap

OpenAI
4 Dec 202303:31

TLDROpenAI DevDay introduced GPT-4 Turbo, a model supporting 128,000 tokens, with JSON mode and enhanced instruction following. It integrates up-to-date knowledge and allows external data retrieval. New features include DALL-E 3, text-to-speech, and Custom Models for tailored applications. Rate limits doubled, pricing reduced, and GPTs offer specialized versions for various purposes, with a forthcoming GPT store and advanced API features like persistent threads and a built-in Python interpreter.

Takeaways

  • 🚀 OpenAI has launched a new model called GPT-4 Turbo with support for up to 128,000 tokens of context.
  • 🔧 A new feature called JSON mode ensures that the model responds with valid JSON.
  • 📈 GPT-4 Turbo can handle multiple function calls at once and follows instructions more effectively.
  • 🌐 The model has access to knowledge about the world up to April 2023 and will continue to improve over time.
  • 🎨 DALL-E 3, GPT-4 Turbo with vision, and a new Text to speech model are now available through the API.
  • 🤖 Custom Models program allows researchers to work closely with companies to create tailored models for specific use cases.
  • 🔄 Rate limits have been doubled for established GPT-4 customers.
  • 💰 GPT-4 Turbo is more cost-effective, being 3x cheaper for prompt tokens and 2x cheaper for completion tokens compared to GPT-4.
  • 📋 GPTs are specialized versions of ChatGPT designed for specific purposes, offering better control and functionality.
  • 🛠 Users can program GPT through conversation, enabling non-coders to build their own models.
  • 🏪 The GPT store is set to launch later this month, offering a platform for sharing and utilizing GPTs.

Q & A

  • What is the name of the new model launched at OpenAI DevDay?

    -The new model launched is called GPT-4 Turbo.

  • How many tokens of context does GPT-4 Turbo support?

    -GPT-4 Turbo supports up to 128,000 tokens of context.

  • What is the new feature introduced in GPT-4 Turbo called?

    -The new feature is called JSON mode, which ensures that the model responds with valid JSON.

  • How does the retrieval feature in the platform enhance the model's knowledge?

    -The retrieval feature allows bringing knowledge from outside documents or databases into whatever you're building, thus enhancing the model's knowledge about the world.

  • What is the knowledge cutoff for GPT-4 Turbo?

    -GPT-4 Turbo has knowledge about the world up to April of 2023.

  • What models are being integrated into the API on the day of the event?

    -DALL-E 3, GPT-4 Turbo with vision, and the new Text to speech model are being integrated into the API.

  • What is the Custom Models program?

    -The Custom Models program is an initiative where OpenAI researchers work closely with a company to help them create a great Custom Model tailored to their specific use case using OpenAI's tools.

  • How are the rate limits changing for GPT-4 customers?

    -The rate limits are being doubled for all established GPT-4 customers, allowing for more tokens per minute, and they can request changes to further rate limits and quotas directly in their API account settings.

  • What is the cost difference between GPT-4 and GPT-4 Turbo?

    -GPT-4 Turbo is considerably cheaper than GPT-4, by a factor of 3x for prompt tokens and 2x for completion tokens.

  • What are GPTs and how do they differ from ChatGPT?

    -GPTs are tailored versions of ChatGPT for a specific purpose, combining instructions, expanded knowledge, and actions, which can be more helpful and provide better control in many contexts.

  • How can non-coders program the GPT?

    -Non-coders can program the GPT by having a conversation, creating private GPTs, sharing creations publicly with a link, or making GPTs just for their company if on ChatGPT enterprise.

  • What features does the assistance API include for better integration?

    -The assistance API includes persistent threads, built-in retrieval, a code interpreter with a working Python interpreter in a sandbox environment, and improved function calling.

Outlines

00:00

🚀 Launch of GPT-4 Turbo and New Features

The video script introduces the audience to the first OpenAI DevDay and the launch of GPT-4 Turbo, a new model capable of handling up to 128,000 tokens of context. This model includes a JSON mode for valid responses, improved function calling, and the ability to integrate external knowledge through retrieval. GPT-4 Turbo is updated with knowledge up to April 2023, with plans for continuous improvement. Additionally, the script announces the inclusion of DALL-E 3, vision capabilities for GPT-4 Turbo, and a new Text to Speech model in the API. A new Custom Models program is introduced, aiming to collaborate with companies to create tailored models for specific use cases. The script also highlights increased rate limits for GPT-4 customers and cost reductions for GPT-4 Turbo compared to its predecessor.

Mindmap

Keywords

💡OpenAI DevDay

OpenAI DevDay is an event organized by OpenAI, a leading artificial intelligence research lab, to announce new developments and products. In the context of the video, it's where the launch of GPT-4 Turbo is introduced, signifying a gathering aimed at developers and tech enthusiasts to share the latest advancements in AI technology.

💡GPT-4 Turbo

GPT-4 Turbo is a new AI model launched by OpenAI, which supports up to 128,000 tokens of context. This model is an enhancement over previous versions, allowing for more complex and detailed interactions by processing larger amounts of text. It is designed to better follow instructions and access a broader knowledge base, making it a significant step forward in AI capabilities.

💡JSON mode

JSON mode is a new feature in GPT-4 Turbo that ensures the model's responses are in valid JSON format. JSON, or JavaScript Object Notation, is a lightweight data interchange format that is easy to read for both humans and machines. By implementing JSON mode, the AI model can provide structured and organized data, which is particularly useful for developers when integrating the AI into their applications.

💡retrieval

In the context of the video, retrieval refers to the ability of the AI model to access and incorporate information from external documents or databases. This feature enhances the model's knowledge base, allowing it to provide more accurate and relevant information in response to user queries. It is a significant improvement as it enables the AI to draw from a wider range of sources beyond its internal training data.

💡DALL-E 3

DALL-E 3 is an AI model mentioned in the video that has the capability of visual understanding and creation. It is a part of the new features being integrated into the OpenAI API, suggesting an advancement in AI's ability to process and generate visual content. This integration marks a step towards AI models that can understand and interact with both text and images.

💡Custom Models

Custom Models is a new program introduced by OpenAI that allows for the creation of tailored AI models specific to a company's needs. Through this program, OpenAI researchers collaborate with companies to develop models that are optimized for particular use cases, leveraging the company's data and requirements. This service is aimed at providing a more personalized and effective AI solution for businesses.

💡rate limits

Rate limits in the context of the video refer to the maximum number of tokens that can be processed by the AI model within a certain timeframe. By doubling the tokens per minute for GPT-4 customers, OpenAI is increasing the capacity for users to interact with the AI, allowing for more extensive and continuous usage without being restricted by token constraints.

💡GPTs

GPTs are specialized versions of ChatGPT designed for specific purposes. They are created by combining instructions, expanded knowledge, and actions, which allows them to be more helpful and effective in various contexts. GPTs can be programmed through conversation, making them accessible to non-coders, and can be used privately within a company or shared publicly.

💡persistent threads

Persistent threads refer to the ability of the AI model to maintain the context of a conversation over time. This feature is particularly useful for long conversations, as it allows the AI to recall previous exchanges and provide coherent, contextually relevant responses. It ensures a seamless and continuous dialogue experience, which is crucial for effective communication and problem-solving.

💡code interpreter

A code interpreter in the context of the video is a feature that allows the AI model to understand and execute code, specifically Python, in a sandbox environment. This capability enables users to interact with the AI at a more technical level, running code snippets and receiving immediate feedback. It represents a significant advancement in AI's ability to assist with programming tasks and enhances its utility for developers.

Highlights

OpenAI DevDay introduces the new model GPT-4 Turbo.

GPT-4 Turbo supports up to 128,000 tokens of context.

A new feature called JSON mode ensures valid JSON responses.

Multiple functions can be called at once for better instruction following.

Retrieval feature launched to incorporate external knowledge into models.

GPT-4 Turbo has world knowledge up to April 2023.

DALL-E 3 and new Text to Speech model integrated into the API.

Custom Models program launched for tailored model development.

Rate limits doubled for established GPT-4 customers.

GPT-4 Turbo is significantly cheaper than GPT-4.

GPTs are specialized versions of ChatGPT for specific purposes.

Conversational programming allows non-coders to program GPT.

Private GPTs can be created and shared publicly or internally.

GPT store launching later this month.

API includes persistent threads, built-in retrieval, and a Python interpreter.

The integration of intelligence will give everyone on-demand superpowers.

The future will be architected together with the help of this technology.

The current launch will seem quaint compared to future developments.

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