Related Experiment Video
Updated: Jun 30, 2026
03:14
Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
Published on: December 6, 2024
From Isolation to Collaboration: Data Trading Mechanism in the Era of Large Language Model Democratization
Kang Wang1,2, Hongxun Hui1,2
1State Key Laboratory of Internet of Things for Smart City, University of Macau, Macao, China.
Research (Washington, D.C.)
|June 29, 2026
Summary
Local large language models (LLMs) offer domain-specific services but face data security and economic barriers. An interdisciplinary framework for data trading can enhance local LLMs through cross-industry knowledge integration, boosting productivity.
Area of Science:
- Artificial Intelligence
- Economic Theory
- Data Security
Background:
- Large language models (LLMs) require extensive data for improved performance and broader applications.
- Local LLM deployment offers secure, domain-specific services but faces challenges in data sharing and economic incentives.
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