Fine-tuning and model adaptation: Data Science course | Zoonk
62. Fine-tuning and model adaptation
Covers supervised fine-tuning, parameter-efficient methods, instruction data, evaluation sets, and cost tradeoffs. Learners decide when adapting a model is better than prompting or retrieval alone.
