LlaSMol: Advancing Large Language Models for Chemistry with a Large-Scale, Comprehensive, High-Quality Instruction Tuning Dataset

Fuente: arXiv

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Bibliographic Details
Main Authors:	Yu, Botao, Baker, Frazier N., Chen, Ziqi, Ning, Xia, Sun, Huan
Format:	Preprint
Published:	2024
Subjects:	Artificial Intelligence Computational Engineering, Finance, and Science Computation and Language
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2402.09391