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Updated: Jan 8, 2026

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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支持MCP的LLM用于元光学反向设计:利用没有LLM专业知识的可微分解决方案

Yi Huang1, Bowen Zheng1, Yunxi Dong1

  • 1Department of Electrical and Computer Engineering, University of Massachusetts Lowell, Lowell, USA.

Nanophotonics (Berlin, Germany)
|December 22, 2025
PubMed
概括

我们使用大型语言模型 (LLM) 和模型上下文协议 (MCP) 开发了一个框架,以简化地表反向设计. 这种方法使先进的计算工具可供研究人员使用,而不需要编程专业知识,提高设计质量和效率.

关键词:
在 TorchRDIT 中使用 TorchRDIT.自动区分的自动区分.反向设计的设计.大型语言模型 (LLM)模型上下文协议 (MCP) 是一个模型上下文协议.

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