Agents, Agents and more Agents 🤖🤖🤖
AI Summary
Video Summary: Agentic Frameworks and Structured Outputs in AI
Structured Outputs in GPT-4.0 API
- OpenAI introduced structured outputs in the GPT-4.0 API.
- This feature allows developers to provide a JSON schema for the model to return outputs in.
- It is crucial for building real-world applications, particularly for function calling and agentic workflows.
- The model can consistently return JSON outputs as requested by the developer.
- Example use cases include generating user interfaces like landing pages, sign-up screens, and stock price widgets.
Mistral’s Agentic Workflows
- Mistral announced a new agentic framework called agent builder.
- The agent builder is a GUI for building complex agents.
- Example: Creating a Python agent that generates Python code and a test case based on user queries.
- The Mistral LATCH2 model is recommended for use with the agent builder.
- Detailed system instructions control the agent’s behavior.
- Agents can be tested, deployed to the leecher platform, or used via an API.
- Mistral AI Python SDK is used to integrate agents into applications.
- The agent builder allows for the creation of specialized agents for specific tasks.
- A complex multi-agent workflow example is provided, showcasing planning, code generation, execution, and summarization.
Other Agentic Systems
- LLAMA agentic system has built-in support for tools like search and code interpreter.
- Quinn, an open-source project, also offers an agentic framework.
- Speculation about OpenAI’s internal project, potentially an agentic framework named QSTAR or Strawberry.
Recommendations for Developers
- Developers working with LLMs should closely follow the development of agentic frameworks and systems.
- Agentic frameworks are in the early stages and will improve over time.
- Developers are encouraged to build their own agents based on LLM providers.
Conclusion
- The video emphasizes the importance of agentic frameworks in AI development.
- It provides a demonstration of how to use new features and frameworks to build agentic systems.
- The content is focused on technical aspects and practical demonstrations without any self-promotion.