Fine-Tune the Llama Model you own this product

prerequisites
Basic Python • Basics of LLMs
skills learned
Develop data set of finetuning • Finetune an LLM
Michael Yuan and Tony Yuan
1 week · 4-6 hours per week · BEGINNER
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Your local school district has an LLM chatbot specialized in chemistry. But it sometimes answers questions entirely unrelated to chemistry! To improve the safety of this LLM application, you are asked to come up with a new LLM that would classify student questions and return machine-readable (JSON) messages to the application frontend so that the application can decide whether to answer this question. To accomplish that, you need fine-tuning to "teach" the model how to classify questions through many examples, which themselves are generated by a Llama-based LLM, and to always respond with JSON.

This project is designed for learning purposes and is not a complete, production-ready application or solution.

prerequisites

This liveProject is for software developers and IT professionals who are interested in building LLM applications in their own domains. To begin this liveProject, you will need to know the following:


TOOLS
  • Intermediate Linux
  • Basics CMAKE and Linux dev tools
  • Basics of Git
  • Basics of Hugging Face
  • Basics of Python
TECHNIQUES
  • Command line tools
  • Basics of LLMs
  • Basics of model training and inference
  • Deploying and testing web services

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