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Updated: Jan 15, 2026

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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在可解释的人工智能中评估无模型的后期方法:增强物种分布模型

Don Enrico Buebos-Esteve1,2,3, Nikki Heherson A Dagamac4,5,6

  • 1Initiatives for Conservation, Landscape Ecology, Bioprospecting, and Biomodeling (ICOLABB), Research Center for the Natural and Applied Sciences, University of Santo Tomas, España, 1008, Manila, Philippines.

Biologia futura
|October 8, 2025
PubMed
概括

这项研究通过应用可解释的人工智能来增强临灭绝的明道罗猪的物种分布模型 (SDM). 调查结果显示,当地生物气候因素降低了预测的存在,促使有针对性的保护工作.

关键词:
可以解释的机器学习规范化 规范化 规范化在南方的南方.替代模型的替代模型热带生态 热带生态

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Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM12:26

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