prov-gigapath/prov-gigapath
quality grade C, 56 out of 100Prov-GigaPath: A whole-slide foundation model for digital pathology from real-world data
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Released model weights, reference implementations and architecture research.
Signals: large-language-models, llm, foundation-models, transformer, gpt, llama, mistral, qwen
1,455 results
Prov-GigaPath: A whole-slide foundation model for digital pathology from real-world data
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This repository contains code to quantitatively evaluate instruction-tuned models such as Alpaca and Flan-T5 on held-out tasks.
Reading list of Instruction-tuning. A trend starts from Natrural-Instruction (ACL 2022), FLAN (ICLR 2022) and T0 (ICLR 2022).
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