Summary
This video teaches data scientists how to detect and explain data drift in unstructured NLP text using metadata, properties, and embeddings. The speaker demonstrates using the open-source library Deep Checks to identify drift, automatically extract topic clusters via GPT, and trace model performance drops.
Summary from the captured archive. Follow the original source for full context.
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