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1
Open Source LLaMa
2
Prerequisites and Hugging Face Model
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Tokenizers and Tokenization
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Model Stopping Criteria
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Fixing the End of Speech Token
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Setting the Stopping Criteria
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Hugging Face Open-Llama Pipeline
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Improving Generation Parameters
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Open-Llama as a Chatbot with LangChain
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Post Processing the LLM Output
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Making Queries to Open-Llama
Description:
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.

Open LLaMa in LangChain and Hugging Face

James Briggs
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