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This repository documents a seven-round investigation into whether alternative computational geometries can improve upon the standard dot-product attention mechanism used in transformer language models.
This project explores the use of a Large Language Model (LLM) to evaluate image sharpness through a paired comparison experiment. The goal is to establish Just Noticeable Difference (JND) levels for sharpness perception