Model upgrades in Microsoft Foundry are not a one‑time platform operation, they are an ongoing application lifecycle discipline. Microsoft documentation makes this explicit: models evolve continuousl...

🔍 1. Why Evaluating LLM Responses is Hard In classical programming, correctness is binary. Input Expected Result 2 + 2 4 ✔ Correct 2 + 2 5 ✘ Wrong Software is determinist...

Another Step Towards a Complete AI Platform Since inception, our goal with Microsoft Foundry has been to deliver the most complete AI and app agent factory; giving developers access to the latest f...

It's easy to publish Foundry Agents and your own Custom Engine Agents, so they can be accessed in Teams and Copilot. But if you want to run your agents on your own private network you'll hit an issue...

From Knowledgeable to Personalized: Why Memory Matters Most AI agents today are knowledgeable — they ground responses in enterprise data sources and rely on short‑term, session‑based memory to main...

Introduction AI agents are slowly moving from demos into production, where real users, messy systems, and long-tail edge cases lead to new unseen failure modes. Production monitoring can surface is...

This week's Model Mondays edition highlights three models now available in Hugging Face collection on Microsoft Foundry: NVIDIA's Nemotron-3-Super-120B-A12B, a hybrid Latent Mixture-of-Experts (MOE) ...

Neural HD 2.5 update to Latest in Production: Enhanced Quality, Styles, and Paralinguistic tags Neural HD 2.5 delivers notable enhancements to existing HD voices, with an emphasis on achieving...

The Promise (and Pain) of Automated Document Processing  Every enterprise runs on documents. Invoices, contracts, tax forms, medical records, insurance claims…the list never ends. Intelligent Docum...

Authors: Sethu Raman, Chris Hoder As generative AI solutions move from experimentation to production, consistent performance under variable demand is becoming a critical requirement. Today, we are ...