Prompt Engineering
/prɑːmpt ˌɛndʒɪˈnɪrɪŋ/
Definition
Systematically designing and refining input queries (prompts) to maximize the performance and accuracy of Large Language Models.
Examples
- • Good prompt engineering improved ChatGPT output quality by 3x.
- • Adding few-shot examples in the prompt makes the model more accurate.
Origin
Became critical as LLMs commercialized starting in 2022.
Essential skill in the era of generative AI. The same model produces completely different results based on prompt quality.
TECHNeutral2022AILLM기술최적화