Prompt theory refers to the study and practice of how inputs (prompts) influence outputs in AI systems like ChatGPT. It explores how wording, structure, context, and instructions shape responses.
Key ideas include clarity, specificity, and framing—well-designed prompts guide models to produce accurate, relevant, and useful results. It overlaps with prompt engineering, which applies these principles to get better AI outputs.
hey, good question. i've been messing around with llms a lot for work, and honestly, it feels like both. there are definitely patterns that emerge, like giving it roles or using 'chain of thought' prompting which feel pretty scientific. but then so much of it is still just trying different phrasings and seeing what sticks. a lot of trial and error still tbh, even with the 'theories' out there.
hey, good question. i've been messing around with llms a lot for work, and honestly, it feels like both. there are definitely patterns that emerge, like giving it roles or using 'chain of thought' prompting which feel pretty scientific. but then so much of it is still just trying different phrasings and seeing what sticks. a lot of trial and error still tbh, even with the 'theories' out there.
