Nemotron 3.5 Safety: 静的フィルターがマルチモーダルの規模で失敗する理由
NVIDIAは、12言語と画像・テキスト推論をサポートするカスタマイズ可能なガードレールモデル「Nemotron 3.5 content safety」をリリースし、マルチモーダルな企業向けAIの抜け穴を塞ぐことを目指しています。
nvidia released nemotron 3.5 content safety, a multimodal guardrail model built on the gemma 3 4b architecture that processes user prompts, images, and responses in a unified context window. unlike static classifiers, this model supports custom policy specifications for different industries and outputs auditable reasoning traces in its 'think' mode to explain safety verdicts. nvidia also open-sourced the accompanying multimodal, multilingual safety dataset, enabling developers to benchmark and train safety systems on restrictive content without licensing hurdles.