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Nvidia has unveiled updates to its NeMo Guardrails technology, aimed at enhancing safety and security for agentic AI systems. These updates introduce Nvidia Inference Microservices (NIMs) that provide organizations with more granular control over large language models (LLMs). The new services focus on content safety, topic control, and jailbreak detection, addressing the complexities of deploying interconnected AI agents.
As agentic AI is projected to become a dominant trend by 2025, the need for robust safety measures is critical. The NeMo Guardrails NIMs are designed to mitigate challenges related to security, data privacy, and governance, which can hinder deployment. With early testing indicating a 50% improvement in protection with minimal latency impact, these advancements position Nvidia as a leader in AI safety solutions.
• Nvidia updates NeMo Guardrails to enhance agentic AI safety and security.
• New NIMs focus on content safety, topic control, and jailbreak detection.
Agentic AI refers to AI systems capable of autonomous decision-making and actions, which require stringent safety measures.
NeMo Guardrails are tools designed to enforce policies and controls on AI outputs, ensuring safe interactions.
NIMs are optimized services that facilitate the deployment of AI models on Nvidia's GPUs, enhancing performance and control.
Nvidia is a leading AI technology company known for its GPUs and AI software solutions, including NeMo Guardrails.
AWS provides cloud computing services and has embraced the guardrails concept for AI safety, similar to Nvidia's approach.
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