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Prompt: Difference between revisions
→Language models
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===Language models=== | ===Language models=== | ||
{{see also|Prompt engineering for text generation}} | {{see also|Prompt engineering for text generation}} | ||
In [[language models]] like [[GPT]], the output quality is influenced by a combination of [[prompt design]], [[sample data]], and [[temperature]] (a [[parameter]] that controls the “creativity” of the responses). Furthermore, to properly design a prompt the user has to have a good understanding of the problem, good grammar skills, and produce many iterations. <ref name="”10”">Shynkarenka, V (2020). Hacking Hacker News frontpage with GPT-3. Vasili Shynkarenka. https://vasilishynkarenka.com/gpt-3/ </ref> | In [[language models]] like [[GPT]], the [[Prompt engineering for text generation|output quality is influenced]] by a combination of [[prompt design]], [[sample data]], and [[temperature]] (a [[parameter]] that controls the “creativity” of the responses). Furthermore, to properly design a prompt the user has to have a good understanding of the problem, good grammar skills, and produce many iterations. <ref name="”10”">Shynkarenka, V (2020). Hacking Hacker News frontpage with GPT-3. Vasili Shynkarenka. https://vasilishynkarenka.com/gpt-3/ </ref> | ||
Therefore, to create a good prompt it’s necessary to be attentive to the following elements: | Therefore, to create a good prompt it’s necessary to be attentive to the following elements: | ||