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L-3 LangChain Explained | Building Generative AI Apps from Scratch
Generative AI Tutorials
In this video, we will learn about LangChain, a powerful tool for building generative AI applications. I'll guide you through the basics of LangChain and then demonstrate how to use Google's Gemini model to create two exciting applications: a question-answering app and a language translator app. By the end of this tutorial, you'll see how versatile LangChain is and how you can leverage a single model to build multiple AI-driven solutions. Let's dive in! Github: https://github.com/AarohiSingla/Generative_AI/tree/main/L-3/first_genai_app Email - [email protected] #ai #langchain #languagemodels #gemini #deeplearning #llms #llm #generativeai #generativemodels
About the course
Welcome to our Generative AI playlist! This curated collection of videos explores the exciting and rapidly evolving field of Generative Artificial Intelligence. Throughout this playlist, you'll find comprehensive guides on various large language models (LLMs), including their capabilities, applications, and how to utilize them effectively. We'll also dive deep into LangChain, a powerful tool for building generative AI applications. Whether you're a beginner looking to understand the basics or an experienced developer seeking advanced insights, this playlist has something for everyone. Join us as we uncover the potential of Generative AI and learn how to leverage it for innovative solutions!
20lessons
3hours
Lessons
- L-1 Generative AI for Beginners
- L-1 Generative AI for Beginners
- L 2 Ollama | Run LLMs locally
- L 2 Ollama | Run LLMs locally
- L-3 LangChain Explained | Building Generative AI Apps from Scratch
- L-3 LangChain Explained | Building Generative AI Apps from Scratch
- L-4 Step-by-Step Guide to Building a ChatGPT Clone
- L-4 Step-by-Step Guide to Building a ChatGPT Clone
- L-5 Chat with database using LangChain
- L-5 Chat with database using LangChain
- Run Llama 3.1 locally using LangChain
- Run Llama 3.1 locally using LangChain
- L-7 RAG (Retrieval Augmented Generation)
- L-7 RAG (Retrieval Augmented Generation)
- L-8 Build a Q&A App with RAG using Gemini Pro and Langchain
- L-8 Build a Q&A App with RAG using Gemini Pro and Langchain
- L-9 Build a Q&A App with RAG, LangChain, and Open-Source LLMs | Step-by-Step Guide
- L-9 Build a Q&A App with RAG, LangChain, and Open-Source LLMs | Step-by-Step Guide
- L-10 RAG Vs Fine-tuning
- L-10 RAG Vs Fine-tuning