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.

project authors

Michael Yuan

Dr. Michael Yuan is the founder and maintainer of the open -source WasmEdge project — one of the most popular WebAssembly (Wasm) runtimes for server and edge applications. He is also the creator of LlamaEdge, a cross-platform, embeddable, and cloud-native runtime for AI applications, supporting LLMs and popular vision and speech models. Dr. Yuan is the author of 5 books on software engineering and a frequent speaker at conferences such as KubeCon, Open Source Summit, QCon, Rust Conf, VMWare Explore, COSCon, and Wasm I/O. He has designed and implemented enterprise applications and server-side software infrastructure since the early 2000s. Dr. Yuan holds a PhD in Astrophysics from the University of Texas at Austin.

Tony Yuan
Tony Yuan is a student at Kealing Middle School in Austin, Texas, who loves technology and AI. He served as a TA for his school’s computer science class and as the leader of Kealing’s philharmonic orchestra. He enjoys listening to rock music and reading history books when he's not programming or studying.

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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