ChatGPT on Your Own Data using LangChain! + Python Code in 12 minutes!⏰

Опубликовано: 30 Декабрь 2023
на канале: Quick Tutorials

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🚀 In this video, I show you how to use ChatGPT or your own Large Language Model (LLM) on your own data using LangChain. 📝 I write a simple Python code to show you how to do so in just ⭐️12 minutes! ⭐️

🔖 LangChain is an open source framework by which you can connect or chain your data with popular LLMs like GPT-4 so that you can ask specific questions about your data from the chosen language model. Specifically, LangChain is a framework designed to simplify the creation of applications using large language models (LLMs). It enables developers to build context-aware and reasoning LLM applications by combining a large language model prompt with various external resources. LangChain is an open-source library that provides developers with tools to build applications powered by LLMs, and it is built around LLMs, allowing developers to create chains of different prompts interactively. Additionally, LangChain is a powerful, open-source framework that helps developers develop applications powered by a language model, particularly an LLM, and it is designed to streamline AI application development, focusing on real-time data processing and integration with LLMs.

Timecodes
0:00 Intro - What is LangChain?
3:35 What is Retrieval Augmented Generation (RAG)?
4:52 How to install LangChain in Python?
6:31 How to use ChatGPT in Python using LangChain?
7:41 How to load your data using LangChain?
8:46 How to chunk your data using LangChain?
9:36 How to generate the VectorStore in LangChain?
11:10 How to do question answering (QA) using LangChain?

🔗 For more information, you can visit this link:

🌎 A detailed tutorial on this topic: / using-langchain-for-question-answering-on-...
🌎The official docs of LangChain: https://python.langchain.com/docs/get...

⭐️HashTags ⭐️
#ai #gpt #llm #langchain #python #chatgpt #gpt4 #llama #deeplearning #generativeai #datascience #nlp #largelanguagemodels