関連する実験動画

Updated: Sep 10, 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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人間中心の視点からデータとモデルの管理における大型言語モデル駆動のAutoMLの評価

Jiapeng Yao1, Lantian Zhang2, Jiping Huang3

  • 1School of Data Science and Artificial Intelligence, Wenzhou University of Technology, Wenzhou, Zhejiang, China.

Frontiers in artificial intelligence
|August 21, 2025
PubMed
まとめ

大型言語モデル (LLM) は自動機械学習 (AutoML) のアクセシビリティを向上させます. 人を中心としたこのアプローチは,MLの実装の成功率を向上させ,開発時間を短縮し,組織の技術的スキルのギャップを埋める.

キーワード:
自動化された機械学習ディープラーニング人とコンピュータの相互作用大型言語モデル自然言語インターフェイス

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