This is a collection as a frequently asked questions (FAQ) from the workshop.
- Q: Why should I fine-tune a LLM?
A: Fine-tuning a LLM is a way to improve the performance of the model on a specific task or to teach the model a specific task. For example, fine-tuning a LLM on a specific domain can improve the performance of the model on that domain. Fine-tuning a LLM on a specific task can improve the performance of the model on that task. Fine-tuning a LLM on a specific language can improve the performance of the model on that language.