Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...
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。
Speechify's Voice AI Research Lab Launches SIMBA 3.0 Voice Model to Power Next Generation of Voice AI SIMBA 3.0 represents a major step forward in production voice AI. It is built voice-first for ...
There are three critical areas where companies most often go wrong: data preparation and training, choosing tools and specialists and timing and planning.
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 ...
The drive towards newer Java versions and updated enterprise specifications isn’t just about keeping up with the latest tech; ...
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