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tltaylorley/study-prompt-engineering
study-prompt-engineering is a machine learning model from tltaylorley. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
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…
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From the Hugging Face model README
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.
Start with notes.md for the full note. Sections labeled as plans or hypotheses should not be interpreted as experimental results. If results are added later, they should include dataset versions, commands, seeds, hardware, and raw logs.
The note is intentionally exploratory. It does not claim benchmark improvements, completed ablations, released code, or a trained checkpoint. References and proposed datasets provide a starting point for verification rather than evidence that the study has already been run.
notes.md — primary artifactREADME.md — this documentationReleased under mit. Review the source-data terms separately when this repository is used with external datasets.