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My goal is to create a chat bot specialized in answering questions related to diabetes.

I am new to fine tuning and have a couple questions before I begin. My question is about the dataset format and the underlying model I should use.

I want to fine tune the LLM on the following dataset - I am thinking of using the Alpaca format - make a prompt with ##[Instruction] ##[Input] ##[Output] - (). However, I want to use the rationale and explanation column from the database. How should I incorporate it? If not rationale, I want to incorporate explanation column while fine tuning.

I plan to use the base model rather than the instruct model. Will that be the right choice?

Seeking guidance, Thanks!

本文标签： large language modelHow to incorporate additional data in fine tuning LLMStack Overflow

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