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Nvidia tackles agentic AI safety and security with new NeMo Guardrails NIMs
Nvidia is optimizing AI safety controls for multi-agent systems with minimal performance impact through new NeMo Guardrails microservices.
The basic idea behind guardrails is to provide some form of policy and control for large language models (LLMs) to help prevent unauthorized and unintended outputs. While agentic AI has plenty of benefits, it also brings new challenges, particularly around security, data privacy and governance requirements, which can create significant barriers to deployment. As part of today’s rollout, Nvidia is also providing blueprints to demonstrate how the different guardrail NIMs can be deployed for varying scenarios, including customer service and retail.
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