Snyder, S. H., Vignaux, P. A., Ozalp, M. K., Gerlach, J., Puhl, A. C., Lane, T. R., . . . Ekins, S. (2024). The Goldilocks paradigm: Comparing classical machine learning, large language models, and few-shot learning for drug discovery applications. Communications chemistry, 7(1), 134-11. https://doi.org/10.1038/s42004-024-01220-4
Citácia podle Chicago (17th ed.)Snyder, Scott H., Patricia A. Vignaux, Mustafa Kemal Ozalp, Jacob Gerlach, Ana C. Puhl, Thomas R. Lane, John Corbett, Fabio Urbina, a Sean Ekins. "The Goldilocks Paradigm: Comparing Classical Machine Learning, Large Language Models, and Few-shot Learning for Drug Discovery Applications." Communications Chemistry 7, no. 1 (2024): 134-11. https://doi.org/10.1038/s42004-024-01220-4.
Citácia podľa MLA (8th ed.)Snyder, Scott H., et al. "The Goldilocks Paradigm: Comparing Classical Machine Learning, Large Language Models, and Few-shot Learning for Drug Discovery Applications." Communications Chemistry, vol. 7, no. 1, 2024, pp. 134-11, https://doi.org/10.1038/s42004-024-01220-4.