
At Microsoft AI (MAI) we believe AI should be used to empower every person on the planet. We are creating AI for everyone, a supportive, helpful presence always in the service of humanity. It will be the gateway to a universe of knowledge and a set of capabilities that enable people and organizations to achieve more. Responsible, reliable, filled with personality and expertise, we are focused on creating applied AI as a platform for category defining and deeply trusted products that understand each of our unique needs.
Since last year, we’ve been focused on building the foundation for this vision, with a world class team and infrastructure. To fully meet our goals, MAI requires purpose-built models. Today, we’re excited to preview the first steps to making this a reality.
- First, we’re releasing MAI-Voice-1, our first highly expressive and natural speech generation model, which is available in Copilot Daily and Podcasts, and as a brand new Copilot Labs experience to try out here. Voice is the interface of the future for AI companions and MAI-Voice-1 delivers high-fidelity, expressive audio across both single and multi-speaker scenarios.
- Second, we have begun public testing of MAI-1-preview on LMArena, a popular platform for community model evaluation. This represents MAI’s first foundation model trained end-to-end and offers a glimpse of future offerings inside Copilot. We are actively spinning the flywheel to deliver improved models. We’ll have much more to share in the coming months. Stay tuned!
We have big ambitions for where we go next. Not only will we pursue further advances here, but we believe that orchestrating a range of specialized models serving different user intents and use cases will unlock immense value. There will be a lot more to come from this team on both fronts in the near future. We’re excited by the work ahead as we aim to deliver leading models and put them into the hands of people globally.
Try MAI-Voice-1 in Copilot and Copilot Labs
MAI-Voice-1 is a lightning-fast speech generation model, with an ability to generate a full minute of audio in under a second on a single GPU, making it one of the most efficient speech systems available today.
MAI-Voice-1 is already powering our Copilot Daily and Podcasts features. We are also launching it in Copilot Labs where you can try our expressive speech and storytelling demos. Imagine creating a “choose your own adventure” story with just a simple prompt, or crafting a bespoke guided meditation to help you sleep. Give it a try!
Try MAI-1-preview in LMArena
MAI-1-preview is an in-house mixture-of-experts model, pre-trained and post-trained on ~15,000 NVIDIA H100 GPUs. This model is designed to provide powerful capabilities to consumers seeking to benefit from models that specialize in following instructions and providing helpful responses to everyday queries.
We will be rolling MAI-1-preview out for certain text use cases within Copilot over the coming weeks to learn and improve from user feedback. We will continue to use the very best models from our team, our partners, and the latest innovations from the open-source community to power our products. This approach gives us the flexibility to deliver the best outcomes across millions of unique interactions every day.
In addition to LMArena, we are also making this model available to trusted testers – apply for API access here. We’re excited to collect early feedback to learn more about where the model performs well and how we can make it better. Stay tuned for more.
Build the future with us
We’re a lean, fast-moving lab made up of some of the world’s most talented minds. We have an exciting roadmap of compute at MAI, with our next-generation GB200 cluster now operational. And we have an ambitious mission we truly believe in. We’re also fortunate to partner with incredible product teams giving our models the chance to reach billions of users and create immense positive impact. If you’re a brilliant, highly-ambitious and low ego individual, you’ll fit right in – come and join us as we work on our next generation of models!
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