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0:00 - Panel focus on scaling AI agents responsibly with architecture, model choices, governance, and trust
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Classroom Contents
AI Agent Architectures - Pitfalls and Real-World Business Impact
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- 1 0:00 - Panel focus on scaling AI agents responsibly with architecture, model choices, governance, and trust
- 2 00:12:00 - Human-in-the-loop AI design ensuring expert training and decision oversight
- 3 00:15:16 - Shift toward live demos and interactive prototypes over static presentations
- 4 00:16:24 - Transition to architectural discussion of AI agent implementation
- 5 00:23:33 - Choosing and Evaluating AI Models in Microsoft Foundry
- 6 00:24:18 - Multi-Model Strategy: Matching Models to Specific Use Cases
- 7 00:37:02 - Architecting systems with autoscaling, fault tolerance, and observability
- 8 00:38:07 - GPU scaling complexities and model failover strategies
- 9 00:41:27 - Key advice for AI adoption: platform reuse, iterative prototyping, and focusing on outcomes
