Explore how to utilize the Open-LLaMa model in Hugging Face and LangChain in this comprehensive tutorial video. Learn about prerequisites, tokenization, and model stopping criteria before diving into fixing the end of speech token and setting appropriate stopping parameters. Discover how to implement the Hugging Face Open-Llama pipeline and improve generation parameters for better results. Transform the model into a chatbot using LangChain, and master post-processing techniques for LLM output. Conclude by making queries to Open-Llama, gaining practical experience in working with this powerful open-source language model for artificial intelligence and natural language processing applications.
Overview
Syllabus
Open Source LLaMa
Prerequisites and Hugging Face Model
Tokenizers and Tokenization
Model Stopping Criteria
Fixing the End of Speech Token
Setting the Stopping Criteria
Hugging Face Open-Llama Pipeline
Improving Generation Parameters
Open-Llama as a Chatbot with LangChain
Post Processing the LLM Output
Making Queries to Open-Llama
Taught by
James Briggs
