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This project uses prompt engineering and LLM finetuning to classify Private Letter Rulings into Adverse and Non-adverse rulings.

This project contains the continued work to perfect a model for upsampling undersampled Photoacoustic Microscopy (PAM) images.

The Duke PAM dataset contains OR-PAM images collected at 532 nm, and is managed by Dr. Junie Yao's Photoacoustic Imaging Lab at Duke University.

This repository just organize some thought, notes, and experiments on deep learning. Is intended to support my own research and teaching.