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Editar Pregunta #150
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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?
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Prompt engineering is the most cost-effective solution for improving the accuracy of FM responses. It requires no model training or additional compute costs — just crafting better prompts. Fine-tuning, retraining, or training a new FM are all significantly more expensive options.
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