Microsoft AI

Which one is which? Drop your best guess. Try it today. https://lnkd.in/gqr3eFcp

Shutterstock recently evaluated MAI-Image-2-Efficient, the latest model from Microsoft AI. That moment reflects a broader shift happening across AI right now. As more high-quality and niche models enter the market, the challenge is no longer just building them. It’s understanding how they actually perform in real-world workflows and where the next level of differentiation is coming from. From our evaluation work, one thing is becoming clear: performance is defined not only by what a model can generate, but also by what teams can use it for. Here’s our perspective after evaluating Microsoft’s latest model: "Microsoft Image 2 Efficient shows strong progress in prompt fidelity and creative usability across a range of workflows. In our evaluation work, we look closely at how well models translate intent into consistent, production-ready outputs, and this model is trending in the right direction. That level of reliability is what ultimately matters when teams move from experimentation into real-world use." — Vanessa Salvo, Principal Product Manager, Shutterstock We unpack this more in our latest piece on what actually matters when evaluating AI models for production. Check it out here: https://lnkd.in/ehmtCPdK #AI #GenerativeAI #ModelEvaluation #AIInfrastructure

MAI-Voice-1 exports flawless audio in record speed. Can you tell the difference between the real recording and our model? Drop your best guess. Try it today. https://lnkd.in/gVnCq_Ff

MAI-Voice-1 adapts tone, pacing, and delivery across domains, from translation to customer support, while maintaining clarity and intent. Can you tell which one is which? Try it for yourself. https://lnkd.in/gABwbR8N

We spend a lot of time evaluating how new models perform in real-world workflows, especially as teams move from experimentation into production. We had the opportunity to test Microsoft AI latest MAI-Image-2-Efficient model, and here’s our early perspective: "MAI-Image-2-Efficient shows strong progress in prompt fidelity and creative usability across a range of workflows. In our evaluation work, we look closely at how well models translate intent into consistent, production-ready outputs, and this model is trending in the right direction. That level of reliability is what ultimately matters when teams move from experimentation into real-world use." — Vanessa Salvo, Principal Product Manager, Shutterstock You can read more in their latest blog at https://lnkd.in/esHPxe7e Looking forward to seeing how this evolves. #AI #GenerativeAI #ModelEvaluation #AIInfrastructure

Big on quality. Light on compute. Meet MAI‑Image‑2‑Efficient, our production model built for rapid iteration—delivering 4× the efficiency of MAI‑Image‑2. Learn more here: https://lnkd.in/gT_MrdgM

Text is often the hardest part of image generation to get right. MAI-Image-2 improves consistency and legibility for in-image text across infographics, diagrams, and slides — reducing the gap between prompt and output. Try it for yourself. https://lnkd.in/gUV_K3ti

MAI-Voice-1 sets a new bar for natural, expressive speech generation. Can you tell which voice is synthetic and which is human? Try it for yourself. https://lnkd.in/gckmfJkh

Introducing MAI‑Transcribe‑1 — Microsoft’s most accurate, multilingual speech‑to‑text model yet. Built for real‑world audio, global products, and enterprise‑scale reliability. Learn more: https://lnkd.in/gx397tAG