Automate MLOps workflows with Azure Machine Learning service CLI
This year at Microsoft Build 2019, we announced a slew of new releases as part of Azure Machine Learning service which focused on MLOps.
Azure Machine Learning
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Microsoft makes it easier to build popular language representation model BERT at large scale
Today we are announcing the open sourcing of our recipe to pre-train BERT (Bidirectional Encoder Representations from Transformers) built by the Bing team, including code that works on Azure Machine Learning, so that customers can unlock the power of training custom versions of BERT-large models for their organization. -
PyTorch on Azure: Full support for PyTorch 1.2
Congratulations to the PyTorch community on the release of PyTorch 1. -
Microsoft and Qualcomm accelerate AI with Vision AI Developer Kit
Artificial intelligence (AI) workloads include megabytes of data and potentially billions of calculations. -
Extending the power of Azure AI to business users
Today, Alysa Taylor, Corporate Vice President of Business Applications and Industry, announced several new AI-driven insights applications for Microsoft Dynamics 365. -
Microsoft Azure AI hackathon’s winning projects
We are excited to share the winners of the first Microsoft Azure AI Hackathon, hosted on Devpost. -
Automated machine learning and MLOps with Azure Machine Learning
Azure Machine Learning is the center for all things machine learning on Azure, be it creating new models, deploying models, managing a model repository and/or automating the entire CI/CD pipeline for machine learning. -
TensorFlow 2.0 on Azure: Fine-tuning BERT for question tagging
Congratulations to the TensorFlow community on the release of TensorFlow 2. -
New in Stream Analytics: Machine Learning, online scaling, custom code, and more
Azure Stream Analytics is a fully managed Platform as a Service (PaaS) that supports thousands of mission-critical customer applications powered by real-time insights. -
Companies of all sizes tackle real business problems with Azure AI
Over the past few years, we’ve seen incredible transformation across industries as companies harness the power of AI to transform business processes and drive impact for their customers. -
Azure Machine Learning—ML for all skill levels
Enterprises today are adopting artificial intelligence (AI) at a rapid pace to stay ahead of their competition, deliver innovation, improve customer experiences, and grow revenue. -
PyTorch on Azure with streamlined ML lifecycle
It’s exciting to see the PyTorch Community continue to grow and regularly release updated versions of PyTorch! Recent releases improve performance, ONNX export, TorchScript, C++ frontend, JIT, and distributed training.
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