Full text tutorial (requires MLExpert Pro): [ Ссылка ]
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: [ Ссылка ]
Prepare for the Machine Learning interview: [ Ссылка ]
Subscribe: [ Ссылка ]
GitHub repository: [ Ссылка ]
PDF files:
Tesla Quarterly Report (Jul 21, 2023) - [ Ссылка ]
Meta Q2 2023 Earnings (Jul 26, 2023) - [ Ссылка ]
Nvidia Fiscal Q1 2024 - [ Ссылка ]
Join this channel to get access to the perks and support my work:
[ Ссылка ]
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
