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Updated: Jun 11, 2025

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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自动回归的实例表明,大型语言模型是如何被训练来解决的问题所塑造的

R Thomas McCoy1, Shunyu Yao1, Dan Friedman1

  • 1Department of Computer Science, Princeton University, Princeton, NJ 08542.

Proceedings of the National Academy of Sciences of the United States of America
|October 4, 2024
PubMed
概括

大型语言模型 (LLM) 的成功或失败取决于其培训目标:下一个词的预测. 了解这种远程方法揭示了概率如何影响LLM准确性,并确定了潜在的故障模式.

关键词:
人工智能的人工智能是人工智能.认知科学是认知科学.大型语言模型.

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