関連する実験動画

Updated: Sep 10, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

681

大型言語モデルを使用して,双言語の食品ラベルから栄養情報を抽出します.

Fatmah Y Assiri1, Mohammad D Alahmadi1, Mohammed A Almuashi2

  • 1Software Engineering Department, College of Computer Science and Engineering, University of Jeddah, Jeddah 21493, Saudi Arabia.

Journal of imaging
|August 27, 2025
PubMed
まとめ

大型言語モデル (LLM) は食品のラベルから栄養データを抽出できますが,アラビア語のテキストでは困難です. GPT-4oは多言語食品ラベル分析の他のモデルを上回るので,加工後の精度が大幅に向上します.

キーワード:
LLM (大言語モデル)OCR (光学文字認識)コンピュータビジョン (CV) テキスト抽出栄養ラベル

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