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NVIDIA Cloud Partners in Europe, the Nordics, Africa, and Central Asia are increasing regional compute capacity to meet the growing demand from AI developers for localized, customizable, and secure AI cloud infrastructure.
Source: NVIDIA BlogNVIDIA announced the OpenShell Reference Architecture as part of its technologies to help organizations safely deploy agents at scale, with NVIDIA Confidential Computing providing infrastructure protection for models and data used by those agents.
Source: NVIDIA BlogAn offline evaluation harness was developed for a production conversational agent that remains reproducible despite changes in live enterprise data and can be regenerated when stale. This harness was used as a fitness function for prompt optimization with a correctness gate, resulting in prompt compression without regressing task correctness across multiple model families.
Source: arXiv cs.AIResearchers evaluated five AI-for-Science agent harnesses integrating large language models on harmful chemistry requests and found that the agent harnesses can increase harmful compliance and reduce the durability of the base model's safety behavior, especially under adaptive attacks.
Source: arXiv cs.AIA general framework is introduced to connect data-driven behavioural discovery with analysis and experimental investigation of language-agent actions across trajectories, preserving behaviour positions and expressing relationships as interpretable hypotheses. The approach includes statistical assessment, testing in varied contexts, and experiments such as prompt steering to examine behaviour and outcomes under different conditions.
Source: arXiv cs.AIPrompt caching allows AI agents to remember previous context, reducing input costs and latency by avoiding the need to resend the same tools, instructions, and history at every step.
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