Phidata - Build a Team of Autonomous AI Agents!
AI Summary
Video Summary: Building AI Agents with Fi Data Framework
- Introduction
- Discusses the Fi Data framework by Ashrei for building AI assistants.
- Enables easy creation of AI agents with memory, knowledge, and integrated tools.
- Video showcases building a team of AI agents.
- Introduces “World of AI Solutions” for providing AI solutions to businesses and personal use cases.
- Recommends checking out the Patreon page for new subscriptions and booking consultations.
- Building AI Agents
- Demonstrates building a team of AI agents using the GPT-4 model.
- Main driver agent with memory, knowledge, and tools.
- Sub-agents for dedicated tasks.
- Orchestration agent to manage the team.
- Example tasks include retrieving stock prices and knowledge from a blog post.
- Delegation of tasks to specialized agents, such as writing a report on an acquisition.
- Application and Code
- Provides the application code and encourages forking and customizing.
- Explains the structure of simple agents and assistants in the framework.
- Details on how to build an assistant with access to tools and financial knowledge.
- Complex Agent Example
- The Streamlit application serves as the frontend.
- The agent file defines the agent’s behavior and capabilities.
- Instructions for running the agent are provided in the README.
- The agent uses the GPT-4 model and has a description and instructions.
- Storage is handled by PostgreSQL, and a knowledge base is used for information retrieval.
- Tools and team members are defined for the agent to perform tasks.
- Examples of team members include data analysts, Python assistants, and investment assistants.
- Conclusion
- The video concludes with a successful demonstration of the AI agent team.
- Encourages viewers to support Fi Data, follow on Patreon and Twitter, and subscribe to the channel.
- Emphasizes the potential of the framework for creating collaborative multi-agent systems.