Lead AI-Native Products with Microsoft's Agentic AI Program
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Learn to apply Cosmos Cookbook recipes for physical AI reasoning using Cosmos Reason in this hands-on technical deep dive session. Explore how egocentric or first-person reasoning enables robots to understand social cues and physical laws, resulting in safer and more natural human-robot interactions. Discover techniques for fine-tuning Cosmos Reason with domain-specific data, such as heavy traffic scenarios, to improve understanding in complex, dynamic environments. Master similar methods for filtering synthetic data and building visual-language agents for real-world industrial applications. Complete the session with a comprehensive walkthrough of the Video Search and Summarization blueprint, demonstrating how video analytics AI agents can search, summarize, and act on live or recorded video streams for practical implementation.
Syllabus
Build Reasoning Agents For Physical AI | Cosmos Labs
Taught by
NVIDIA Developer