Design human in the loop feedback systems for AI products (Hindi)

Learn how to design human in the loop feedback systems to stop your AI model from repeating mistakes. Without user corrections, accuracy drops every month, making continuous learning essential. This lesson breaks down the mechanics of keeping a real person inside the AI learning cycle. We explore how a spell-checker uses a flag, choose, and teach loop to improve, and how this applies to complex AI outputs. You will see how a support bot refines its tone guide through stacked human edits. As a product manager, you will learn the exact steps to build these systems. We cover why you need a dead-simple review screen and why binary choices like thumbs up and down outperform blank text boxes for gathering feedback. In this lesson: - Why accuracy drops without user feedback - The flag, choose, and teach loop for AI - Refining AI tone through stacked human edits - Designing simple review screens with binary inputs - Tracking human overrides to measure performance U2xAI Academy - AI skills for product managers. यह लेसन हिंदी में है. This lesson is narrated in Hindi.