Advanced LLM Fine-tuning

For practitioners with Python and machine learning experience. We work through when fine-tuning is worth it and when prompting or retrieval is the better choice, how to prepare and clean training data, parameter-efficient methods such as LoRA, evaluation against a baseline, and serving the resulting model.