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

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Nayan Saxena

41:17

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01 - Introduction

01 - Generative agents What and why.mp4

00:54

02 - What you should know.mp4

01:16

03 - Setting up your environment.mp4

02:59

02 - 1. Building Your First Generative Agents

01 - Understanding the role of memory.mp4

03:31

02 - Implementing your first generative agent.mp4

04:05

03 - Interacting and providing context to generative characters.mp4

02:15

04 - Setting up and running your first multi-agent simulation.mp4

03:05

05 - Challenge Run a generative agent trivia night in LangChain.mp4

01:08

06 - Solution Run a generative agent trivia night in LangChain.mp4

02:11

03 - 2. Modelling Complex Generative Agent Scenarios

01 - Implementing the dialogue agent class.mp4

01:56

02 - Implementing the dialogue simulator class.mp4

01:38

03 - Authoritarian vs. decentralized speaker selection.mp4

02:11

04 - Bidding for decentralized speaker selection.mp4

01:31

05 - Challenge Simulate a startup pitch to investors.mp4

01:32

06 - Solution Simulate a startup pitch to investors.mp4

03:08

04 - 3. Equipping Agents with Tools

01 - Overview of agent tools in LangChain.mp4

02:04

02 - Enabling an agent to access various tools.mp4

01:50

03 - Simulating a debate with tool integration.mp4

02:35

05 - Conclusion

01 - Next steps in building real-world applications.mp4

01:28

Description

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.

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Artificial Intelligence

Nayan Saxena

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LinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications. It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.