Migrate your prompts to new models and optimize them on Amazon Bedrock | Amazon Web Services
The problem: Prompt engineering at scale is still painful
Migrating prompts to new models on Amazon Bedrock, or optimizing them for your current model, is still one of the most manual parts of building a generative AI application. Say you have built a deployed generative AI application. It works. Your prompts are tuned, your outputs are consistent, and your users are happy. Then a new model becomes available on Amazon Bedrock that is faster, cheaper, and more capable, and you must decide whether to migrate.
The decision should be straightforward, but it rarely is.
Customers spend days to weeks optimizing prompts and re-evaluating responses when they migrate to a new model. The same effort applies when they try to improve performance on their current model. The cycle looks the same every time. Rewrite the prompt, run it against test cases, compare results, tweak, and repeat. Now multiply that work by...
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