AI retrieval and faithfulness evaluation for product managers (Hindi)

Understanding AI retrieval and faithfulness is critical when your AI assistant gives confident but incorrect answers. This video breaks down AI retrieval and faithfulness so you can pinpoint exactly where your system failed. Think of your AI as a student writing a book report. The library trip represents retrieval, where the system searches your files and grabs the correct text chunks. The actual book report represents faithfulness, meaning the AI must strictly stick to the fetched data when generating its final answer. A common failure point occurs when an AI has great search capabilities but terrible faithfulness. It might pull the correct refund policy page but tell a user they have a year to return an item instead of thirty days. You must test these two steps independently to keep your AI honest. In this lesson: - The difference between fetching data and sticking to it - Why great search means nothing if the AI ignores results - How to test pulled documents and final answers separately U2xAI Academy - AI skills for product managers. यह लेसन हिंदी में है. This lesson is narrated in Hindi.