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Updated: Feb 22, 2026

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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State-wise linear modulation (SLim):大規模な言語モデルを制御するための新しいアプローチ.

Basavaraj Sangayya Hiremath1, Marco Polignano2, Marco Levantesi1

  • 1Otto-von-Guericke University Magdeburg, Universitätsplatz 2, Magdeburg, 39106, Germany.

Neural networks : the official journal of the International Neural Network Society
|February 20, 2026
PubMed
まとめ

大型言語モデル (LLM) の内部状態を変更すると,よりよい人間-AIの相互作用のための出力特性を導く. 国によって設計されたLLMの出力は,特に主観的な入力の場合は,センチメントと感情と一致しています.

キーワード:
アクティベーションシフトのシフトディープラーニングとは,ディープラーニングです.大規模な言語モデル自然言語処理は自然言語の処理である.パーソナライゼーション パーソナライゼーションステアリングベクトルの方向性

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