Machine Learning

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…

A new feature now available in GA enables you to create compute clusters in locations that are different from the location of the workspace.

New feature now available in Public Preview enables you to view job statuses without unnecessary compute cost accrual.

Azure OpenAI Service is now available in the UK South region. UK South supports gpt-35-turbo at launch.

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.

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 features now available in GA include the ability to visualize timeseries models, and create a Compute Instance on behalf of another user.

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. 

Azure Machine Learning is now Generally Available in the UK West region.

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 public preview features include reading Delta Lakes in fewer steps, debugging and monitoring training jobs, and performing data wrangling.

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.

Features include controlling/customizing a model’s training code and using Python functions to develop tasks.

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.

Hierarchical forecasting, now generally available, offers you the capability to produce consistent forecasts for all levels of your data.

New features now available in public preview include AutoML Code Generation enhancements and AutoML in Pipelines.

New features include MLflow enhancements and train and deploy models in Azure hybrid and multi-cloud.

Azure Machine Learning now offers a Responsible AI dashboard and scorecard as well as additional enhancements in preview.

Deploy your machine learning models in a turnkey manner across powerful GPU and GPU machines. CLI v2 now also generally available.

Label data with text classification using machine learning assist.

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.

Compartmentalize access to data with identity passthrough and configure email notifications from Azure Learning.

Start using Ray on Azure Machine Learning Library before 30 June 2022.

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.

New features now available in General Availability include add multiple private endpoints for workspaces, and support for storage account IP firewall.

A new feature now available in general availability includes Manage Azure Machine Learning resource using Hashicorp Terraform

The new feature in general availability for Azure Machine Learning includes deploying with pre-built Inferencing docker images.

New features now available in public preview for Azure Machine Learning include test AutoML models and calculate test metrics, support for storage account IP firewall, and new pipeline capabilities using…

New feature Azure Arc-enabled machine learning inference and data labeling with text classification using ML Assist capabilities are now available in preview in Azure Machine Learning

New feature Azure Arc-enabled machine learning inference and data labeling with text classification using ML Assist capabilities are now available in preview in Azure Machine Learning.

Azure Machine learning, bringing AI to everyone with an end-to-end, scalable, trusted platform available in West US 3.

New features now generally available include authenticate with Managed Identities, simplify data upload with dataset uploads, parallel run step with partitioned dataset, and create and edit environments using Environments UI.

New features now available in public preview include compute instance and cluster No Public IP, Hashicorp Terraform configuration templates, and AutoML for images.

New feature Multiple Private Endpoint for Workspace is now available in public preview in Azure Machine Learning

Azure Machine learning, bringing AI to everyone with an end-to-end, scalable, trusted platform available in Japan West.

New features Cross Location Compute, Hierarchical Time Series, and Compute Instance auto-shutdown and auto-start capabilities are now available in preview in Azure Machine Learning.

New features Custom Containers in Managed Online Endpoints and Job Creation UI are now available in preview in Azure Machine Learning.

New features include data scientist built-in role, text classification labeling, and environments UI.

Azure AI is introducing a new category of services called Azure Applied AI Services. These services accelerate time-to-value in building AI solutions for common business processes. Within this category, Azure…

Managed Online and Batch Endpoints, in public preview, allow for seamless deployment and operationalization

New features now generally available including Data Labeling – Image Instance Segmentation and MLflow support

Ubuntu 16.04 community support ends on 30 April 2021 – Transition to 18.04 immediately

Enable the full power of VS Code connected to your Azure Machine Learning Compute with multiple new editing tasks.