Skip to content

Whether you're a beginner exploring LangChain or an advanced practitioner building scalable GenAI applications, this tutorial-style project provides modular examples and hands-on guidance to help you master Generative AI development.

Notifications You must be signed in to change notification settings

dineshpiyasamara/generative_ai_tutorial

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

33 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Generative AI Tutorial

This tutorial series on Generative AI using LangChain showcases practical implementations of Retrieval-Augmented Generation (RAG), agentic systems, hybrid search techniques, and evaluation methods. It walks you through building real-world applications using OpenAI, HuggingFace, and LangSmith, with a focus on making Generative AI systems more powerful, interpretable, and efficient.

Whether you're a beginner exploring LangChain or an advanced practitioner building scalable GenAI applications, this tutorial-style project provides modular examples and hands-on guidance to help you master Generative AI development.

About

Whether you're a beginner exploring LangChain or an advanced practitioner building scalable GenAI applications, this tutorial-style project provides modular examples and hands-on guidance to help you master Generative AI development.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Contributors 2

  •  
  •