Product Tour: Track Model Drift on Unstructured Data with Fiddler скачать в хорошем качестве

Product Tour: Track Model Drift on Unstructured Data with Fiddler

Discover how to effectively monitor drift in your LLM and ML models that work with unstructured data using Fiddler's powerful tracking capabilities. In this product tour, we walk through tracking drift for models like image classifiers by leveraging image embeddings and text embeddings. Learn how these embeddings provide an aggregate drift metric, enable deep insights with clustering, and pinpoint the sources of drift — be it changes in sensors, lighting, or new data introductions. See how Fiddler simplifies drift analysis for language models, providing granular insights without sampling. 00:00 Tracking Drift with Fiddler 00:14 Using Image Embeddings for Drift Detection 00:48 Drift Detection for Language Models ✦ Get a customized demo: https://bit.ly/fiddler-demo ✦