Git Product home page Git Product logo

hands-on-generative-ai-with-multi-agent-langchain-4499047's Introduction

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

This is the repository for the LinkedIn Learning course Hands-On Generative AI with Multi-Agent LangChain: Building Real-World Applications. The full course is available from LinkedIn Learning.

lil-thumbnail-url

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.

See the readme file in the main branch for updated instructions and information.

Instructions

This repository has branches for each of the videos in the course. You can use the branch pop up menu in github to switch to a specific branch and take a look at the course at that stage, or you can add /tree/BRANCH_NAME to the URL to go to the branch you want to access.

Branches

The branches are structured to correspond to the videos in the course. The naming convention is CHAPTER#_MOVIE#. As an example, the branch named 02_03 corresponds to the second chapter and the third video in that chapter. Some branches will have a beginning and an end state. These are marked with the letters b for "beginning" and e for "end". The b branch contains the code as it is at the beginning of the movie. The e branch contains the code as it is at the end of the movie. The main branch holds the final state of the code when in the course.

When switching from one exercise files branch to the next after making changes to the files, you may get a message like this:

error: Your local changes to the following files would be overwritten by checkout:        [files]
Please commit your changes or stash them before you switch branches.
Aborting

To resolve this issue:

Add changes to git using this command: git add .
Commit changes using this command: git commit -m "some message"

Instructor

Nayan Saxena

Deep Learning Expert

Check out my other courses on LinkedIn Learning.

hands-on-generative-ai-with-multi-agent-langchain-4499047's People

Contributors

smoser-lil avatar the-infiltrator avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.