AWS Certified AI Practitioner (AIF-C01) — Question 20

A company uses a foundation model (FM) from Amazon Bedrock for an AI search tool. The company wants to fine-tune the model to be more accurate by using the company's data.
Which strategy will successfully fine-tune the model?

Answer options

• A. Provide labeled data with the prompt field and the completion field.
• B. Prepare the training dataset by creating a .txt file that contains multiple lines in .csv format.
• C. Purchase Provisioned Throughput for Amazon Bedrock.
• D. Train the model on journals and textbooks.

Correct answer: A

Explanation

The correct option, A, is effective because it involves supplying labeled data with distinct fields for prompts and completions, which is essential for fine-tuning the model accurately. Option B is incorrect as .csv format is not suitable for the specific requirements of Amazon Bedrock. Option C does not pertain to model fine-tuning but rather to resource allocation. Option D is also not suitable since training on journals and textbooks does not involve the specific data structure needed for effective fine-tuning.