This repository contains a working research note about Prompt Engineering. It organizes motivation, related work, a falsifiable hypothesis, and an evaluation plan. It is not presented as a completed paper or a release of trained models. - the scope of the research question and likely confounders - a proposed comparison with matched baselines - concrete evaluation context such as task-appropriate public benchmarks named in the main note - reproducibility checks, failure modes, and open questions - topic-relevant references Start with papernotes.md for the full note. Sections labeled as plans or hypotheses should not be interpreted as experimental results. If results are added later, they…
Independent publisher
Vincent Kim
Daegukim07
fine-tuning, natural language understanding, image generation, prompt engineering, transfer learning
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Datasets in Library0
Models on Hugging Face1
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