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When is a Foundation Model a Foundation Model

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arxiv 2309.11510 v1 pith:CLBVKMMG submitted 2023-09-14 cs.IR cs.AIcs.CV

When is a Foundation Model a Foundation Model

Saghir Alfasly , Peyman Nejat , Sobhan Hemati , Jibran Khan , Isaiah Lahr , Areej Alsaafin , Abubakr Shafique , Nneka Comfere
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Dennis Murphree Chady Meroueh Saba Yasir Aaron Mangold Lisa Boardman Vijay Shah Joaquin J. Garcia H.R. Tizhoosh
This is my paper
classification cs.IR cs.AIcs.CV
keywords foundationmodelsdeepgeneratedmodelnetworkswhenartificial
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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Recently, several studies have reported on the fine-tuning of foundation models for image-text modeling in the field of medicine, utilizing images from online data sources such as Twitter and PubMed. Foundation models are large, deep artificial neural networks capable of learning the context of a specific domain through training on exceptionally extensive datasets. Through validation, we have observed that the representations generated by such models exhibit inferior performance in retrieval tasks within digital pathology when compared to those generated by significantly smaller, conventional deep networks.

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  1. Data-Centric Foundation Models in Computational Healthcare: A Survey

    cs.LG 2024-01 unverdicted novelty 3.0

    The paper surveys data-centric strategies for foundation models in computational healthcare and supplies a curated list of related models and datasets.