Definition of"prompt engineering" in English

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prompt engineering

/prɒmpt ˌɛndʒɪˈnɪərɪŋ/
Noun

Definitions

1

Noun

The discipline of designing, refining, and optimizing inputs (known as 'prompts') for generative artificial intelligence (AI) models, particularly large language models (LLMs), to achieve desired and high-quality outputs. It involves crafting specific instructions, context, and examples to guide the AI's behavior and performance.
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Examples

  • "Effective prompt engineering is crucial for getting accurate and creative responses from large language models."

    Effective prompt engineering is crucial for getting accurate and creative responses from large language models.

  • "She spent hours on prompt engineering, experimenting with different phrasing to get the AI to generate the perfect marketing copy."

    She spent hours on prompt engineering, experimenting with different phrasing to get the AI to generate the perfect marketing copy.

Etymology

A relatively new term emerging in the early 2020s with the rise of advanced generative AI models. It combines 'prompt' (an instruction or query given to a system) and 'engineering' (the application of scientific and mathematical principles to practical ends), reflecting the systematic and iterative process involved.

Cultural Notes

Prompt engineering has rapidly become a vital skill in the age of generative AI, enabling users and developers to unlock the full potential of models like ChatGPT. It highlights the human element in guiding AI, transforming the way people interact with and leverage artificial intelligence for various tasks, from content creation to complex problem-solving.

Frequency:Common

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