Prompt engineering is the practice of formulating and structuring the instructions given to a generative AI model to obtain more relevant, reliable and usable responses.
The same model can produce very uneven results depending on prompt quality; it is often the fastest and cheapest lever to improve an existing AI use case.
By specifying the expected format, target audience and examples in the prompt, a team gets far more usable summaries from its AI assistant.
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