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What’s the difference between evaluating an AI model and evaluating an AI agent? 

While model and agent evaluation are inextricably linked, their technical benchmarks and metrics for success are fundamentally different.

Mastering Agentic Techniques: AI Agent Evaluation | NVIDIA Technical Blog
What are the implications and risks for agent-assisted development?

This attack path highlights important considerations for the future of agent-assisted development. Extended supply chain risk: Traditional supply chain attacks focus on injecting malicious code directly. In agentic environments, a compromised dependency can also redirect the agent itself, extending familiar supply chain risks into a new dimension, such as injecting subtle delays that cause performance degradation or denial-of-service scenarios.   Instruction following under adversarial conditions: When the agent followed injected configuration directives, including instructions to conceal its

Mitigating Indirect AGENTS.md Injection Attacks in Agentic Environments | NVIDIA Technical Blog

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