AIF-C01 · Question #215
A company wants to fine-tune a foundation model (FM) to answer questions for a specific domain. The company wants to use instruction-based fine-tuning. How should the company prepare the training…
The correct answer is C. Create pairs of questions and answers that specifically address topics related to the company's. Instruction-based fine-tuning requires a dataset of instruction–response examples. By curating question–answer pairs focused on the company’s domain, you teach the model exactly how to interpret domain-specific queries and generate the correct responses during inference.
Question
A company wants to fine-tune a foundation model (FM) to answer questions for a specific domain. The company wants to use instruction-based fine-tuning. How should the company prepare the training data?
Options
- AGather company internal documents and industry-specific materials. Merge the documents and
- BCollect external company reviews from various online sources. Manually label each review as
- CCreate pairs of questions and answers that specifically address topics related to the company's
- DCreate few-shot prompts to instruct the model to answer only domain knowledge.
How the community answered
(18 responses)- A6% (1)
- B6% (1)
- C78% (14)
- D11% (2)
Explanation
Instruction-based fine-tuning requires a dataset of instruction–response examples. By curating question–answer pairs focused on the company’s domain, you teach the model exactly how to interpret domain-specific queries and generate the correct responses during inference.
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