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Updated: Jun 7, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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探索基于BERT和GPT的大型语言模型中的反转诅咒和其他演逻辑推理

Da Wu1,2, Jingye Yang1,2, Kai Wang1,3

  • 1Raymond G. Perelman Center for Cellular and Molecular Therapeutics, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA.

Patterns (New York, N.Y.)
|November 21, 2024
PubMed
概括

像GPT这样的大型语言模型 (LLM) 由于"逆向诅咒"而难以逆转语句. 双向编码器模型 (BERT) 避免了这种情况,为各种AI任务展示了独特的推理能力.

关键词:
贝尔特 (BERT) 公司在 GPT 中,GPT 必须是 GPT.法学士 (LLM) 是一个专业.自动回归模型的自动回归模型这是一个双向编码器.演性的逻辑推理推理.大型语言模型逆转的诅咒可以逆转.

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