A community quilt-guild booth shop has a generic model that writes cases in a public textbook style and wants it to learn guild wording after a further training pass on labeled house examples. What is fine-tuning here?
Select an answer to reveal the explanation.
Short Explanation
Fine-tuning is a second lesson with the guild’s own scrapbook after the general class. The pre-trained model gets further training on targeted house examples. That is more than “use the base model as-is.”
Full Explanation
Fine-tuning continues training of a pre-trained LLM or SLM on a focused dataset so outputs better match a specialized testing domain or task. It differs from simply applying a pre-trained model with no extra training. Chunking for RAG and CT-AI coverage metrics are separate topics.