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Updated: Sep 9, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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AIのエコー: LLMの出力におけるプロット多様性の欠如を定量化

Weijia Xu1, Nebojsa Jojic1, Sudha Rao1

  • 1Microsoft Research, Redmond, WA 98052.

Proceedings of the National Academy of Sciences of the United States of America
|August 28, 2025
PubMed
まとめ

GPT-4やLLaMA-3のような大規模な言語モデル (LLM) は,繰り返し物語のプロットを生成し,集団的な創造性を制限します. AIによって生成されたコンテンツのオリジナリティの欠如を 定量化しています

キーワード:
AI についてLLM について創造性についてディープラーニングテキスト生成

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