81. Fine-tuning and adaptation of AI models

Adapt pretrained models using supervised fine-tuning, parameter-efficient methods, instruction tuning, data curation, evaluation sets, and safety checks. The focus is deciding when fine-tuning is worth the cost compared with prompting or retrieval.