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NVIDIA AI Building Blocks for Agentic AI

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[Applause] [Music] [Applause] AI agents are the new digital Workforce working for and with us AI agents are a system of models that reason about a mission break it down into tasks and retrieve data or use tools to generate a quality response nvidia's agentic AI building blocks Nim pre-train models and Nemo framework let organizations easily develop AI agents and deploy them anywhere we will onboard and train our agentic workforces on our company's methods like we do for employees AI agents are domain specific task experts let me show you four examples for the billions of knowledge workers
and students AI research assistant agents ingest complex documents like lectures journals Financial results and generate interactive podcasts for easy learning by combining a unet regression model with a diffusion model ciff can downscale global weather forecasts down from 25 km to 2 km developers like at Nvidia manage software security AI agents that continuously scan software for vulnerabilities alerting developers to what action is needed Virtual Lab AI agents help researchers design and Screen billions of compounds to find promising drug candidates f faster than ever Nvidia analytics AI agents built on an Nvidia Metropolis blueprint including Nvidia Cosmos
neaton Vision language models llama nitron llms and Nemo retriever Metropolis agents analyze content from the billions of cameras generating 100,000 pedabytes of video per day they enable interactive search summarization and automated reporting and help monitor traffic flows flagging congestion or danger in industrial facilities they monitor processes and generate recommendations or Improvement Metropolis agents centralize data from hundreds of cameras and can reroute workers or robots when incidents occur the age of agentic AI is here for every organization [Music]
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