Chatbot with LangChain
Offered By: James Briggs via YouTube
Course Description
Overview
Learn how to create an open-source chatbot using MPT-30B, the latest Large Language Model, and LangChain in this comprehensive video tutorial. Explore the superior performance of MPT-30B compared to GPT-3, and discover how to implement it in Python. Dive into tokenization, stopping criteria, and the LLM pipeline in Hugging Face. Follow step-by-step instructions to initialize MPT-30B in LangChain, build the chatbot, and post-process responses. Gain hands-on experience interacting with the MPT-30B chatbot, all achievable on a single GPU.
Syllabus
MPT-30B Chatbot
MPT-30B Explained
Implementing MPT-30B in Python
Tokenization and Stopping Criteria
LLM Pipeline in Hugging Face
Initializing MPT-30B in LangChain
Building an MPT-30B Chatbot
Post-Processing Chatbot Responses
Talking with MPT-30B Chatbot
Taught by
James Briggs
Related Courses
Prompt Templates for GPT-3.5 and Other LLMs - LangChainJames Briggs via YouTube Getting Started with GPT-3 vs. Open Source LLMs - LangChain
James Briggs via YouTube Chatbot Memory for Chat-GPT, Davinci + Other LLMs - LangChain
James Briggs via YouTube Chat in LangChain
James Briggs via YouTube LangChain Data Loaders, Tokenizers, Chunking, and Datasets - Data Prep
James Briggs via YouTube