Apr 5
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In this video, you’ll learn about four key evaluation metrics: 1️⃣ Context Precision – Measures whether the retrieved information is actually useful. 2️⃣ Context Recall – Checks whether the system captured all the important pieces of information. 3️⃣ Faithfulness – Ensures the generated answer is grounded in the retrieved context and free of hallucinations. 4️⃣ Answer Relevance – Determines whether the answer directly addresses the user’s question. Understanding these metrics helps you evaluate a RAG system’s performance and ensures the answers are accurate, complete, and relevant. 🔔 Subscribe for more deep dives into AI, NLP, and machine learning! 👍 If you found this video helpful, don’t forget to like, share, and leave a comment to let us know your thoughts! [00:11] Evaluation Metrics ]00:52] Context Precision [01:44] Context Recall [02:31] Answer Relevance [03:21] Faithfulness