AI PM

AI observability and monitoring for product managers (Hindi)

1:58

Understanding AI observability is crucial to monitor AI products and stop your app from flying blind. Like a pilot relying on dials, product managers must track hidden steps inside a black box model. Building an AI app without monitoring is like flying a jet in thick clouds. When users report bad outputs, you need tools to see inside the system. This lesson maps the cockpit to your AI, treating the prompt as fuel, hidden steps as the engine, and the final answer as altitude. Since AI models guess the next word, your dials must track unique metrics. You will learn to measure confidence and token counts to catch weird outputs. By logging every step and setting alerts for slow answers, you fix bugs before they pile up. In this lesson: - Mapping cockpit dials to AI prompts and hidden steps - Tracking model metrics like confidence and token counts - Setting alerts for slow responses and strange text - Building a logging strategy to diagnose bad answers U2xAI Academy - AI skills for product managers. यह लेसन हिंदी में है. This lesson is narrated in Hindi.

Included in: Foundation

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