Evaluating AI features before launch with offline tests (Hindi)

Evaluating AI features before launch is critical because users lose trust instantly if a product ships broken. Learn to test AI features safely using offline evaluations. Think of your AI tool like a Broadway play where the model is the actor and prompts are the script. Before going live, you need a dress rehearsal to catch mistakes. In product management, this is an offline evaluation to grade the model and tweak prompts before real users see the output. You will learn to build a golden dataset by curating real user questions and defining a helpful answer. We cover an AI email summarizer example, showing how human grading reveals failures on long jargon emails and how forcing bullet points improves scores. Never ship based on vibes. In this lesson: - Building a golden dataset of real examples - Running offline evaluations for prompt changes - Using human grading to score AI helpfulness - Fixing edge cases like long jargon emails U2xAI Academy - AI skills for product managers. यह लेसन हिंदी में है. This lesson is narrated in Hindi.