Llm, Artificial Intelligence, Machine Learning, AI, Fine Tuning.
methods balance generalization and customization Full fine-tuning maximizes domain specificity Prompt engineering and data augmentation augment limited data Adapters and sandboxing isolate changes Meta-learning enables fast adaptation from small data Rigorous assessment ensures production readiness