Field of Study:
Prompt Optimization
Prompt Optimization or Prompt Search refers to the process of fine-tuning the input or "prompt" given to a language model to improve its output. This can involve adjusting the phrasing, adding specific instructions, or using other techniques to guide the model towards generating more accurate, relevant, or creative responses. It's a way to control and enhance the performance of language models without modifying their internal parameters.
Synonyms:
Prompt Search
Papers published in this field over the years:
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Publications for Prompt Optimization
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