New Products: A Deep Dive | Summary and Q&A

TL;DR

OpenAI introduces the Assistance API, allowing developers to create customizable AI assistants with capabilities like code interpretation, knowledge retrieval, and function calling.

Key Insights

1. GPTs and ChatGPT: GPTs and ChatGPT are powerful tools with built-in capabilities and the ability to be extended with custom actions and knowledge. They can be used to create personalized and interactive experiences for users.
2. Assistants API: The Assistants API allows developers to build their own AI assistants within their own applications. It provides the tools and primitives needed to create conversational experiences.
3. GPTs have three core components: GPTs have instructions, actions, and extra knowledge. These components allow developers to customize the behavior and personality of the GPT and extend its capabilities.
4. Live demos: The presenters showcased live demos of GPTs in action, demonstrating how instructions, actions, and knowledge can be used to create unique and engaging experiences.
5. Creation UI: The new creation UI for GPTs allows developers to get started conversationally and iteratively create their GPT. It provides tabs for chat, configuration, and testing, making it easy to customize and see how the GPT responds.
6. Code Interpreter: Code Interpreter is a powerful tool that allows the model to write and run code in a safe environment. It can perform math, run code, process files, and generate charts, expanding the capabilities of the GPT.
7. Retrieval: The Retrieval tool allows developers to augment the knowledge of the GPT with external information. It automatically handles document parsing, chunking, and embeddings, making it easy to integrate knowledge into the assistant.
8. Function Calling: Function Calling allows developers to define custom functions that the GPT can call. The GPT selects the most relevant function based on the user query and provides the necessary arguments. JSON Mode and Parallel Function Calling are new features that enhance the flexibility and usability of Function Calling.

Transcript

[music] Good morning everyone, and welcome to the first breakout talk of the day. My name is Krithika, and I lead marketing here at OpenAI. I'm so excited to see you all here today. As Sam mentioned in the keynote, we're really moving towards more of this agents-like future, and there were two products that we announced at the keynote that we'd lik... Read More

Questions & Answers

Q: How does the Assistance API allow developers to create customized AI assistants?

The Assistance API provides developers with the ability to customize instructions, access models and tools, and perform actions on behalf of users, enabling the creation of personalized AI assistants.

Q: What are the key primitives of the Assistance API?

The key primitives of the Assistance API are the assistant, threads, and messages. These allow developers to define instructions, track conversations, and store message history.

Q: What additional functionalities do tools like Code Interpreter, Retrieval, and Function Calling provide?

Code Interpreter allows the running of code within the assistant, Retrieval enhances knowledge with external information, and Function Calling enables the execution of custom functions based on user queries.

Q: What are some planned features for the Assistance API?

OpenAI plans to add multi-modal support, allowing for images and audio files, the ability to bring custom code execution, and asynchronous support through WebSocket and Webhooks for real-time applications.

Summary & Key Takeaways

• OpenAI introduces the Assistance API, which enables developers to build AI assistants with customizable instructions, access to models and tools, and the ability to perform actions on behalf of users.

• The API includes three key primitives: the assistant, threads, and messages, allowing for stateful interactions and tracking of conversations.

• Tools like Code Interpreter, Retrieval, and Function Calling provide additional functionalities, such as running code, retrieving information, and executing custom functions.

• OpenAI plans to add more features, including multi-modal support, custom code execution, and asynchronous support through WebSockets and Webhooks.