Get a comprehensive overview of how to build and run dynamic, interactive multiagent simulations using LangChain, the popular AI-powered framework.
Hands-On Generative AI with Multi-Agent LangChain: Building Real-World Applications
Overview
Syllabus
Introduction
- Generative agents: What and why?
- What you should know
- Setting up your environment
- Understanding the role of memory
- Implementing your first generative agent
- Interacting and providing context to generative characters
- Setting up and running your first multi-agent simulation
- Challenge: Run a generative agent trivia night in LangChain
- Solution: Run a generative agent trivia night in LangChain
- Implementing the dialogue agent class
- Implementing the dialogue simulator class
- Authoritarian vs. decentralized speaker selection
- Bidding for decentralized speaker selection
- Challenge: Simulate a startup pitch to investors
- Solution: Simulate a startup pitch to investors
- Overview of agent tools in LangChain
- Enabling an agent to access various tools
- Simulating a debate with tool integration
- Next steps in building real-world applications
Taught by
Nayan Saxena
