1. Introduction 1.1 Evolution from Expert Systems to Modern AI The transition from rule-based expert systems to modern AI represents one of the most significant paradigm shifts in computer scienc...

TLDR Create an Azure Kubernetes Service cluster with GPU nodes and connect it to Azure Machine Learning to run distributed ML training workloads. This integration provides a managed data science pl...

Over the course of the last year, we have launched several Cohere models on Azure as Serverless Standard (pay-go) offering. We’re excited to announce that Cohere's latest models—Command A, Rerank 3.5...

We are pleased to announce that hubs and workspaces is now generally available on Azure machine learning allowing users to use hub for team’s collaboration environment for machine learning applicatio...

  We often hear about Large Language Models (LLMs) like GPT-4 having billions of parameters and being trained on massive datasets. But have you ever wondered: Where is all that data actually stored...

Vision Model Architectures At present, Transformer-based vision model architecture is considered the forefront of advanced vision modeling.  These models are exceptionally versatile, capable of han...

Accelerating DeepSeek Inference with AMD MI300: A Collaborative Breakthrough  Over the past few months, we’ve been collaborating closely with AMD to deliver a new level of performance for large-sca...

Authors: Samer Hassan, Doran Chakraborty, Qi Zhang ,Yuan Yu Today we’re releasing MAI-DS-R1, a new open weights DeepSeek R1 model variant, via both Azure AI Foundry and HuggingFace. This new model ...

As generative AI tools become more powerful, developers are looking for faster, more flexible ways to experiment, fine-tune, and deploy models. But not every workflow starts—or needs to stay—in the c...