AI ML Articles (5) - Page 1

Microsoft Keeps Renaming Their AI Platform — Here's Why It Actually Matters 

Three names. Three years. One platform. If you’ve been confused about why Microsoft keeps renaming their flagship AI tool, you aren’t alone. But here is the catch: if you’re heading into a Microsoft interview and you get this timeline wrong, it looks like you haven’t been paying attention to the strategy behind the software. Today, we’re breaking down the full timeline, the architectural shifts, and exactly why these name changes signal a massive shift in how Microsoft views the future of AI agents.

Microsoft Is Ditching OpenAI - Know how Multi-Model AI Fallback on Azure Foundry works 

Microsoft just did something no one expected six months ago. They launched three in-house AI models—completely independent of OpenAI—and they are targeting a frontier-class LLM by 2027. If you have a Microsoft interview coming up, the ground has shifted. Here is exactly what they are going to ask you and how to answer like a Senior Architect.

Interviewer Asked Me to Debug a RAG Hallucination — Here's the Exact Process 

Your AI just gave a confident answer… But it’s completely WRONG. Not a small mistake. Not a typo. A full-blown hallucination. And the scary part? It sounds perfectly correct. If you're building RAG pipelines on Azure AI Foundry and facing this… you're not alone. I’ll show you exactly how to debug hallucinations step by step—like you would in a real production system.

What’s the difference between Copilot Studio and Azure AI Agent Service? When would you use one over the other? 

If you’re getting into AI or preparing for interviews, you’ll likely hear this question. At first, it sounds confusing. Both are from Microsoft. Both deal with AI agents. So… what’s the real difference? Let’s break it down in the simplest way possible.

How would you benchmark MAI-Transcribe-1 vs Whisper-large-v3 for a noisy call center use case on Azure? 

Microsoft just dropped (as of April 2026) a speech model that beats Whisper on 25 languages. Here's the interview question it spawned — and most people answer it wrong. MAI-Transcribe-1 was released on April 3rd 2026 with 3.8% average WER. 2.5x faster than Azure's own offering. But benchmarks from Microsoft are vendor benchmarks — and any good interviewer knows that. So when they ask you this question, they're not testing whether you've read the press release. They're testing whether you know how to actually evaluate a model in the real world scenario.