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0:00 – Introduction and Audience Poll
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Classroom Contents
Building Future-Ready AI with Agents and Data Flywheels - Insights from NVIDIA's Enterprise Deployments
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- 1 0:00 – Introduction and Audience Poll
- 2 0:36 – Framing Agents as Digital Employees
- 3 1:22 – NV Infobot: Architecture and Use Cases
- 4 3:00 – MAPE Framework for Self-Regulating Agents
- 5 3:34 – User Feedback Collection Challenges
- 6 5:42 – Root Cause Analysis with LLM Assistance
- 7 7:32 – Key Error Types and Prioritization
- 8 8:59 – Building the Data Flywheel
- 9 9:55 – NVIDIA Microservices for Agent Development
- 10 11:04 – Developer Workflow and Fine-Tuning
- 11 11:37 – Experiment 1: Router Optimization
- 12 13:06 – Experiment 2: Query Rephrasal Improvement
- 13 14:45 – Summary: Monitor, Analyze, Plan, Execute
- 14 15:32 – W&B Blueprint: Deploying Your Own Flywheel
- 15 16:44 – Q&A: Error Prioritization and Nemo Tools
- 16 19:30 – Closing Remarks and Applause
