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Updated: May 10, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

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微调语言模型作为多模式微分方程解决器

Liu Yang1, Siting Liu1, Stanley J Osher1

  • 1Department of Mathematics, University of California, Los Angeles, 520 Portola Plaza, Los Angeles, 90095, CA, USA.

Neural networks : the official journal of the International Neural Network Society
|April 27, 2025
PubMed
概括

本研究介绍了通过自然语言字幕集成人类知识的多式联络操作员学习. 这种方法提高了模型性能,并减少了科学机器学习中的数据需求.

关键词:
微分方程的不同方程.在上下文学习学习.多模模式机器学习操作员学习 操作员学习

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