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…Stripe’s agents generate 1,300+ PRs per week . Ramp attributes 30% of merged PRs to agents . Spotify reports 650+ agent-generated PRs per month . Tools like Claude Code and Codex make…
…from langgraph.prebuilt import create_react_agent AGENT = create_react_agent( model=llm, tools=[RETRIEVER_TOOL], prompt=SYSTEM_PROMPT, ) By constructing an agent graph, we create a dynamic and flexible workflow that…
Agentic AI / Generative AI Mitigating Indirect AGENTS.md Injection Attacks in Agentic Environments Apr 20, 2026 By Daniel Teixeira Discuss (0) Discuss (0) L T F R E AI tools are significantly…
…NVIDIA NeMo tools, such as the NeMo Evaluator and Agent Toolkit, enable robust benchmarking and end-to-end optimization of agentic AI systems, allowing developers to build, evaluate, and deploy scalable, trustworthy…
…Evaluation agent: Runs backtests, applies logical evaluation, and iteratively refines signal suggestions. NeMo Agent Toolkit multi-agent signal discovery loop The NeMo Agent Toolkit provides the orchestration layer to build intelligent agents…
…Learn more about agentic security from the NVIDIA AI Red Team, including: The risks of unsandboxed code . Research on agentic developer tools . How the AI Red Team does threat modeling for agentic…
…The following dives into how a potential coding agent ghoul turned into a friendly ghost eager to help. Why code agents outshine tool-calling When discussing AI agents, the most typical use…
…Learn more Autonomous AI agents are becoming more capable. Open models, Model Context Protocol (MCP) -connected tools, and portable skills are also making agents easier to extend. But scaling agent use with…
…Multiturn tokenization simulates realistic interactions where the agent alternates between reasoning, calling tools, and interpreting tool responses, which is essential for deploying a ReAct-style NOC agent. The result is a curriculum…
…LLMs are built to be powerful generalists, but most agents use only a very narrow subset of their capabilities. They typically parse commands, generate structured outputs such as JSON for tool calls…