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Three new features now available in Public Preview enable you to utilize vision-based models in the model catalog, enjoy seamless integration with LLMOps through the Prompt Flow SDK/CLI and VS…
Two new features now available in PuPr enable you to work with improved data size and model support and generate a default Responsible AI dashboard for the best AutoML model.
New features now available in Public Preview enable you to create AI workflows that connect to various language models and data sources and use prompt flow and Azure OpenAI models…
Azure Video indexer will be adding Advanced Audio and Video SKUs for Advanced presets and a 40% price reduction on the Basic Audio Analysis, Audio Analysis and Video Analysis SKUs.
Azure AI Content Safety is a new Azure AI service that identifies harmful online content, categorizes it and assigns severity scores to support human content moderator workloads.
New features now available in PuPr include the ability to evaluate text/image data fairness and enjoy one platform to build, tune, evaluate, deploy, and test AI workflow with LLM.
New features now available in GA include the ability to enable MLOPs across dev, test, and prod environments to promote assets across multiple workspaces.
We recently made the Speech-to-text REST API version 3.1 generally available. With this release, we'll retire the preview version v3.1-preview.1 on May 12, 2023.
New features now available in GA include the ability to customize your compute instance and configure a compute instance to automatically stop if it is inactive.
New feature now available in Public Preview includes the ability to receive troubleshooting documentation on failed environment builds and shorten the training phase of large-scale distributed PyTorch models.
Build conversational AI experiences with Azure Communication Services. Use virtual chat agents to manage growing customer service needs and provide in-chat intelligence with the help of smart assistants.
New features now available in Public Preview include the ability to build an end-to-end training pipeline with no-code, recover a deleted workspace, and identify root causes of pipeline failure.
New GA features include the ability to automate auto-shutdown/auto-start schedules, configure and customize a compute instance, seamlessly build NLP/vision models, and assess AI systems.
Features include functionality to promote pipelines and models across workspaces, perform data wrangling at scale, shorten training times, and lower set-up costs with Azure Container for PyTorch.
New features include the ability to establish event-driven notifications and the capability to label data in text documents using text named-identity recognition.
Includes the ability to control access to sensitive data, the capability to contrast differences to assess their performance, and the functionality to stop idle compute instances automatically.
The Cognitive Services team has updated our approach to facial recognition including adding a new Limited Access policy, removing AI classifiers of sensitive attributes and bolstering our investments in fairness…
Conversational language understanding includes multilingual transformer-based models as the underlying model architecture and results in significant accuracy improvements over its predecessor, LUIS.
Enhancements in preview include Power Virtual Agents to enable sophisticated conversational flows; Azure Form Recognizer helps to streamline patient check-in and verification; Azure Metrics Advisor has simplified service customization.
Azure Cognitive Services is announcing the following preview updates at Build: Azure OpenAI Service and summarization capabilities in Azure Cognitive Service for Language.
Computer Vision Read API for Optical Character Recognition (OCR) announced the general availability of the new model with support for 164 languages. It’s also available as a Docker container.
New features include multi-class, multi-label, and named entity recognition, search for Azure Machine Learning assets across multiple workspaces, and label with text named entity recognition.
New features now available in public preview include automatic time series ID detection for automation, automatedML model’s training code generation, and move Azure Machine Learning workspaces between subscriptions.
Start using Anomaly Detector’s multivariate detection synchronously for quicker response, easier operations, and more informative result interpretation to help you analyze root causes.