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The Goldilocks paradigm: comparing classical machine learning, large language models, and few-shot learning for drug discovery applications.

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Title: The Goldilocks paradigm: comparing classical machine learning, large language models, and few-shot learning for drug discovery applications.
Authors: Snyder, Scott H.1 (AUTHOR), Vignaux, Patricia A.1 (AUTHOR), Ozalp, Mustafa Kemal1 (AUTHOR), Gerlach, Jacob1 (AUTHOR), Puhl, Ana C.1 (AUTHOR), Lane, Thomas R.1 (AUTHOR), Corbett, John1 (AUTHOR), Urbina, Fabio1 (AUTHOR) fabio@collaborationspharma.com, Ekins, Sean1 (AUTHOR) sean@collaborationspharma.com
Source: Communications Chemistry. 6/12/2024, Vol. 7 Issue 1, p1-11. 11p.
Database: Academic Search Ultimate
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  Data: <searchLink fieldCode="JN" term="%22Communications+Chemistry%22">Communications Chemistry</searchLink>. 6/12/2024, Vol. 7 Issue 1, p1-11. 11p.
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        Value: 10.1038/s42004-024-01220-4
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