Prompt engineering overview - Anthropic

While these tips apply broadly to all Claude models, you can find prompting tips specific to extended thinking models here. This guide assumes that you have: If not, we highly suggest you spend time establishing that first. Check out Define your success criteria and Create strong empirical evaluations for tips and guidance. Don’t have a first draft prompt? Try the prompt generator in the Anthropic Console! This guide focuses on success criteria that are controllable through prompt engineering. Not every success criteria or failing eval is best solved by prompt engineering. For example, latency and cost can be sometimes more easily improved by selecting a different model. Prompting vs. finetuning Prompt engineering is far faster than other methods of model behavior control, such as finetuning, and can often yield leaps in performance in far less time. Here are some reasons to consider prompt engineering over finetuning: The prompt engineering pages in this section have been organized fr

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• Sarah Pan