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Updated: Jul 10, 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

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增强聋人听力沟通能力:探索基于人工智能的预测和生成策略之间的协同作用,以实现 (葡萄牙语) 手语解释

Telmo Adão1,2, João Oliveira3, Somayeh Shahrabadi3

  • 1Department of Engineering, School of Sciences and Technology, University of Trás-os-Montes e Alto Douro, 5000-801 Vila Real, Portugal.

Journal of imaging
|November 24, 2023
PubMed
概括

本研究介绍了一种新的葡萄牙手语解释系统,使用LSTM网络和数据增强来提高准确性. 一种独特的缓冲技术有助于符号化,增强聋人和听觉人士的沟通包容性.

关键词:
葡萄牙手语 葡萄牙手语聋人听力沟通的沟通方式产生预训练变压器 (GPT)包容性 包容性 包含性大型语言模型 (LLM)长期和短期记忆 (LSTM)机器学习 (ML) 是指机器学习.标记语言识别 (SLR) 系统基于视频的运动分析.

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