You are building a copilot experience for an internal knowledge assistant that answers employee questions, drafts responses, and follows company-specific style. The base model is useful, but it misses domain phrasing, over-explains simple requests, and sometimes answers without enough grounding in the provided context.
How would you fine-tune a large language model for a custom copilot experience?
You are building a copilot experience for an internal knowledge assistant that answers employee questions, drafts responses, and follows company-specific style. The base model is useful, but it misses domain phrasing, over-explains simple requests, and sometimes answers without enough grounding in the provided context.
How would you fine-tune a large language model for a custom copilot experience?
