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?
A.
Gather company internal documents and industry-specific materials. Merge the documents and materials into a single file.
B.
Collect external company reviews from various online sources. Manually label each review as either positive or negative.
C.
Create pairs of questions and answers that specifically address topics related to the company's industry domain.
D.
Create few-shot prompts to instruct the model to answer only domain knowledge.
Since the company wants to use instruction-based fine-tuning, the training data must be structured as input-output pairs that teach the model how to respond to specific instructions or questions.
Instruction-based fine-tuning involves training the model with examples like:
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Instruction: "What is the standard treatment for condition X?"
Response: "The standard treatment involves..."
This approach helps the model learn how to follow instructions within a specific domain.
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nand2804
2 weeks, 2 days ago