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

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As a developer in today’s rapidly evolving and constantly surprising AI landscape, it’s become critical to know how to leverage multiagent simulations and generative models. This course is designed to meet the burgeoning demand for AI professionals skilled in these domains. Join instructor Nayan Saxena for a comprehensive exploration of the process of building and running dynamic and interactive multiagent simulations using LangChain, the popular AI-powered framework. Get the skills you need to start building your first generative agents, equipping them with tools, and modeling complex generative agent scenarios. Along the way, test out your new technical know-how in the exercise challenges at the end of each section.


01 - Introduction
  • 01 - Generative agents What and why
  • 02 - What you should know
  • 03 - Setting up your environment

  • 02 - 1. Building Your First Generative Agents
  • 01 - Understanding the role of memory
  • 02 - Implementing your first generative agent
  • 03 - Interacting and providing context to generative characters
  • 04 - Setting up and running your first multi-agent simulation
  • 05 - Challenge Run a generative agent trivia night in LangChain
  • 06 - Solution Run a generative agent trivia night in LangChain

  • 03 - 2. Modelling Complex Generative Agent Scenarios
  • 01 - Implementing the dialogue agent class
  • 02 - Implementing the dialogue simulator class
  • 03 - Authoritarian vs. decentralized speaker selection
  • 04 - Bidding for decentralized speaker selection
  • 05 - Challenge Simulate a startup pitch to investors
  • 06 - Solution Simulate a startup pitch to investors

  • 04 - 3. Equipping Agents with Tools
  • 01 - Overview of agent tools in LangChain
  • 02 - Enabling an agent to access various tools
  • 03 - Simulating a debate with tool integration

  • 05 - Conclusion
  • 01 - Next steps in building real-world applications
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    تاریخ انتشار: 14 اردیبهشت 1403
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