AI Quality Drop: Check Evaluation Data Before Rebuilding (Hindi)

When you notice an AI quality drop, checking your evaluation dataset is the real fix. Learn to troubleshoot AI quality drops efficiently without burning your budget on unnecessary model rebuilds. Think of your evaluation dataset like a fuse box. When the lights go out, you check the fuses before rewiring the house. In AI product management, your fuses are the test questions you feed the model. If your AI gives garbage answers, the issue is often bad test data, not a broken model. This lesson walks you through diagnosing failing prompts, outdated answer keys, and format changes. You will learn why a perfectly formatted evaluation can miss user intent, like a shopping bot failing to recommend dress shoes because the test data only asked for sneakers. In this lesson: - Diagnose an AI quality drop without rebuilding - Use your evaluation dataset as an AI fuse box - Check failed prompts, answer keys, and formats - Build a golden set of perfect test questions U2xAI Academy - AI skills for product managers. यह लेसन हिंदी में है. This lesson is narrated in Hindi.