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Microsoft Fabric Updates Blog

  1. Updates
  2. Eren Orbey

Serve real-time predictions seamlessly with ML model endpoints

Fabric offers a wide variety of data-science capabilities, from automated machine learning with FLAML to batch inferencing with the SynapseML PREDICT function. We’re pleased to announce that ML models can now serve real-time predictions from secure, scalable, and easy-to-use online endpoints. In addition to generating batch predictions in Spark, you can use endpoints to bring … Continue reading “Serve real-time predictions seamlessly with ML model endpoints”

Introducing upgrades to AI functions for better performance—and lower costs

Earlier this year, we released AI functions in public preview, allowing Fabric customers to apply LLM-powered transformations to OneLake data simply and seamlessly, in a single line of code. Since then, we’ve continued iterating on AI functions in response to your feedback. Let’s explore the latest updates, which make AI functions more powerful, more cost-effective, … Continue reading “Introducing upgrades to AI functions for better performance—and lower costs”