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DedeProGames
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AI & ML interests

Thinking and Agentic Finetuning

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reacted to W8Yi's post with 🚀 7 minutes ago
I built a **TCGA WSI feature dataset using UNI2-h**. The official release currently has incomplete coverage (see discussion): https://huggingface.co/datasets/MahmoodLab/UNI2-h-features/discussions/2#681b5ed184d0a008fca99297 To make the features easier to use for research, I generated a new dataset: https://huggingface.co/datasets/W8Yi/tcga-wsi-uni2h-features Key differences from the official release: • **All detected tissue tiles are encoded** (not a sampled subset) • **Features can be downloaded per slide** instead of large ZIP archives • **QC overlay images** are provided for visual inspection • **UNI2-h 1536-D tile embeddings** stored in H5 format • Organized by TCGA project for easier use in MIL / retrieval pipelines Example layout: ``` TCGA-HNSC/ features/*.h5 vis/*__overlay.png ``` Hope this helps others working on computational pathology and TCGA WSI research.
posted an update 13 minutes ago
Introducing GRM Family, a family of fine-tuned small models from the Qwen2.5 family for Long Cot and General Reasoning and Agentic Tasks. GRM is available in 7b and 1.5b parameter sizes, these models being significantly relevant for complex tasks or local inference agents. https://huggingface.co/OrionLLM/GRM-7b https://huggingface.co/OrionLLM/GRM-1.5b
liked a Space about 2 hours ago
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