Team of AI Agents using gpt-4o
AI Summary
Summary: Building a Team of AI Agents with GPT-4
- Introduction
- Demonstrate building a team of AI agents using GPT-4.
- Start with a single agent, then add specialized agents for delegation.
- Building the Main Agent
- Equip the main agent with tools and capabilities.
- It can answer questions, use tools, or delegate tasks.
- Example: For stock prices, it uses Yahoo Finance tools.
- Knowledge Retrieval and Delegation
- Main agent has a knowledge base for information retrieval.
- Can delegate tasks to specialized agents, like writing reports.
- Code and Customization
- Code for the app is available in a GitHub repository.
- Users can fork, clone, and find the agents under the “agents” folder.
- Examples of simple agents, like a web search agent, are provided.
- Agent Details
- Agents are referred to as assistants.
- Assistants are given a description, instructions, and tools.
- They can determine the best course of action for given tasks.
- Programming the Assistant
- Use a system prompt with numbered instructions for clarity.
- Assistants can think, determine actions, and interact human-like.
- Tools and Team Members
- Assistants have access to various tools and can enable them as needed.
- Team members include data analysts, Python coders, researchers, and investment advisors.
- Each specialized agent has its own set of capabilities.
- Running the Agent
- Detailed instructions are provided in the README file.
- The agent uses a database for storage and a vector DB for knowledge retrieval.
- When a task is delegated, the agent formats and sends it to the appropriate team member.
- Conclusion
- Showcased how to build and run a team of AI agents with GPT-4.
- Encouraged questions and engagement through Discord or GitHub issues.