Google公布解決幻覺的AI模型DataGemma
支付動態 · 2024-09-16

為了解決模型生成錯誤資訊的幻覺問題,Google利用檢索交錯生成(RIG)以及檢索增強生成(RAG)技術,讓開源模型Gemma結合開源知識圖譜Data Commons,發展出查證能力更好的DataGemma模型

Google

第二種方式中,當用戶查詢DataGemma時,它會運用Gemini 1.5長脈絡空間,先從Data Commons取得上下文資訊,再生成回應,藉此減少幻覺、提升回應品質。

Google之前已利用開源的Gemma和Gemma 2為基礎,使用RIG和RAG微調出變種版本,而這次則是以Gemma 2為基礎,再以RIG及RAG方法,分別生成DataGemma 2個27B版本變種,現已分別在Hugging Face平臺公開。Google計畫持續改善方法,最後會將這些方法學整合到開源的輕量模型Gemma,以及Gemini家族模型。一開始將局部開放給少數人試用,再階段性逐步擴大開放。

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