ChemistryNature Machine Intelligence
Leveraging large language models for predictive chemistry
K. M. Jablonka, P. Schwaller, et al.
This groundbreaking research conducted by Kevin Maik Jablonka, Philippe Schwaller, Andres Ortega-Guerrero, and Berend Smit demonstrates how GPT-3 can revolutionize chemistry and materials science tasks, outperforming traditional machine learning in low-data scenarios. The model's capacity for inverse design and ease of use holds transformative potential for these fields.
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