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Prompt engineering: Difference between revisions
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Gives the model examples. Imagine you prefer a unique style of writing Python code that differs from what model produces. Take, for instance, when adding two numbers, you prefer to label the arguments differently. The key to working with models like Codex is to clearly communicate what you want it to do. One effective way to do this is to provide examples for Codex to learn from and strive to match its output to your preferred style. If you give Codex a longer prompt that includes the example mentioned, it will then name the arguments in the same manner as in the example. | Gives the model examples. Imagine you prefer a unique style of writing Python code that differs from what model produces. Take, for instance, when adding two numbers, you prefer to label the arguments differently. The key to working with models like Codex is to clearly communicate what you want it to do. One effective way to do this is to provide examples for Codex to learn from and strive to match its output to your preferred style. If you give Codex a longer prompt that includes the example mentioned, it will then name the arguments in the same manner as in the example. | ||
See also [[zero shot, one shot | See also [[zero shot, one shot and few shot learning]] | ||
===Context=== | ===Context=== | ||