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Hands-On Generative AI with Multi-Agent LangChain: Building Real-World Applications

via LinkedIn Learning

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Overview

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Get a comprehensive overview of how to build and run dynamic, interactive multiagent simulations using LangChain, the popular AI-powered framework.

Syllabus

Introduction

Generative agents: What and why?
What you should know
Setting up your environment

1. Building Your First Generative Agents

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

2. Modelling Complex Generative Agent Scenarios

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

3. Equipping Agents with Tools

Overview of agent tools in LangChain
Enabling an agent to access various tools
Simulating a debate with tool integration

Conclusion

Next steps in building real-world applications

Taught by

Nayan Saxena

Reviews

4.7 rating at LinkedIn Learning based on 53 ratings

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