AI safety tests found to rely on 'obvious' trigger words; with easy rephrasing, models labeled 'reasonably safe' suddenly fail, with attacks succeeding up to 98% of the time. New corporate research ...
大規模言語モデル(LLM)などのAIモデルを、既存アプリケーションへ統合するためのフレームワーク「Microsoft Semantic Kernel」の一部開発キットに深刻な脆弱性が明らかとなった。
Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...