Скачать с ютуб Chat with Multiple PDFs using Llama 2 and LangChain (Use Private LLM & Free Embeddings for QA) в хорошем качестве

Chat with Multiple PDFs using Llama 2 and LangChain (Use Private LLM & Free Embeddings for QA)

Full text tutorial (requires MLExpert Pro): https://www.mlexpert.io/prompt-engine... Can you build a chatbot that can answer questions from multiple PDFs? Can you do it with a private LLM? In this video, we'll use the latest Llama 2 13B GPTQ model to chat with multiple PDFs. We'll use the LangChain library to create a chain that can retrieve relevant documents and answer questions from them. You'll learn how to load a GPTQ model using AutoGPTQ, convert a directory with PDFs to a vector store and create a chain using LangChain that works with text chunks from the vector store. Discord:   / discord   Prepare for the Machine Learning interview: https://mlexpert.io Subscribe: http://bit.ly/venelin-subscribe GitHub repository: https://github.com/curiousily/Get-Thi... PDF files: Tesla Quarterly Report (Jul 21, 2023) - https://ir.tesla.com/_flysystem/s3/se... Meta Q2 2023 Earnings (Jul 26, 2023) - https://s21.q4cdn.com/399680738/files... Nvidia Fiscal Q1 2024 - https://s201.q4cdn.com/141608511/file... Join this channel to get access to the perks and support my work:    / @venelin_valkov   00:00 - Introduction 00:38 - Text Tutorial on MLExpert 01:11 - Earning Reports (PDF Files) 02:08 - Llama 2 GPTQ 03:59 - Google Colab Setup 06:00 - Prepare the Vector Database with Instructor Embeddings 08:45 - Create a Chain with Llama 2 13B GPTQ 14:36 - Chat with PDF Files 20:55 - Conclusion #llm #langchain #chatbot #artificialintelligence #chatgpt #llama2 #gpt4 #promptengineering