We’re introducing a set of new enhancements for Data Agent creators — designed to make it easier to debug, improve, and express your agent’s logic. Whether you’re tuning example queries, refining instructions, or validating performance, these updates make it faster to iterate and deliver high-quality experiences to your users. New Debugging Tools View referenced example … Continue reading “Creator Improvements in the Data Agent”
We’re excited to introduce Data Source Instructions, a powerful new feature in the Fabric Data Agent that helps you get more precise, relevant answers from your structured data. What are Data Source instructions? When you use the Data Agent to ask questions in natural language, the agent must determine which data source to use and … Continue reading “New in Fabric Data Agent: Data source instructions for smarter, more accurate AI responses”
We’re excited to announce that native support for evaluating Data Agents through the Fabric SDK is now available in Preview. You can now run structured evaluations of your agent’s responses using Python — directly from notebooks or your own automation pipelines. Whether you’re validating accuracy before deploying to production, tuning prompts for better performance, or … Continue reading “Evaluate your Fabric Data Agents programmatically with the Python SDK (Preview)”
Additional Authors: Amir Jafari, Shreyas Radhakrishna, Nellie Gustafsson We’re excited to unveil significant enhancements to the AI Skill in Fabric! These updates make it easier than ever to build a powerful generative AI data agent, helping you to unlock deeper insights and streamline decision-making. With improved flexibility, intelligence, and user-friendliness, the updated AI Skill is … Continue reading “New improvements coming to the AI Skill”
In today’s data-driven world, quickly developing and deploying machine learning (ML) models is essential. Automated Machine Learning (AutoML) streamlines this process, enabling analysts, data scientists, and domain experts to leverage ML without extensive coding. Now, with the launch of low code AutoML in Fabric Data Science, ML is more accessible than ever, regardless of technical … Continue reading “Announcing low code Automated ML (AutoML) in Fabric Data Science”
