AWS Certified AI Practitioner (AIF-C01) — Question 146

A company wants to improve the accuracy of the responses from a generative AI application. The application uses a foundation model (FM) on Amazon Bedrock.

Which solution meets these requirements MOST cost-effectively?

Answer options

• A. Fine-tune the FM.
• B. Retrain the FM.
• C. Train a new FM.
• D. Use prompt engineering.

Correct answer: D

Explanation

Using prompt engineering is the most cost-effective solution because it optimizes the input prompts to improve output quality without incurring the costs associated with fine-tuning or retraining the model. Fine-tuning (A) and retraining (B) involve significant resource investment, and training a new FM (C) would be the most expensive option, requiring extensive data and time.