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Updated: Jun 12, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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Published on: December 6, 2024

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より大きく,より学習可能な言語モデルは信頼性が低下する

Lexin Zhou1,2, Wout Schellaert1,3, Fernando Martínez-Plumed1,4

  • 1Valencian Research Institute for Artificial Intelligence (VRAIN), Universitat Politècnica de València, Valencia, Spain.

Nature
|September 25, 2024
PubMed
まとめ

大規模な言語モデル (LLM) のスケーリングは信頼性を低下させる可能性があります. より大きなモデルはより多くの質問に答えますが,しばしば誤った答えを出し,それを検出するのは人間にとって難しいので,新しいAI開発方法が必要になります.

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