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Updated: Jan 13, 2026

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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在引导式嵌入中朝着"黄金标准"迈进

Yi Sun1

  • 1Department of Chemistry, Chicago Center for Theoretical Chemistry, James Franck Institute, and Institute for Biophysical Dynamics, The University of Chicago, Chicago, Illinois 60637, United States.

Journal of chemical theory and computation
|October 28, 2025
PubMed
概括

我们使用引导嵌入 (BE2) 开发了一种计算效率高的Coupled Cluster Singles,Doubles和 Perturbative Triples (CCSD(T)) 方法. 这种方法准确计算大分子系统的相对能量,使以前由计算成本限制的常规应用成为可能.

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