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Updated: Jun 25, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

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

Published on: December 6, 2024

544

坚固的球形拉普拉西亚嵌入式

Xiangyu Li, Hunter Belcher, Hua Wang

    IEEE transactions on neural networks and learning systems
    |May 22, 2024
    PubMed
    概括

    本研究介绍了强大的球形拉普拉斯嵌入 (RS-LE),这是将复杂数据投射到较低维度的新方法. RS-LE通过统一欧几里德距离和等号相似性,改善数据分析,提供了更具歧视性的表示.

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