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Description
On June 23, 2025, Microsoft unveiled Mu, an innovative 330-million-parameter encoder–decoder language model specifically crafted to enhance the agent experience within Windows environments by effectively translating natural language inquiries into function calls for Settings, all processed on-device via NPUs at a remarkable speed of over 100 tokens per second while ensuring impressive accuracy. By leveraging Phi Silica optimizations, Mu’s encoder–decoder design employs a fixed-length latent representation that significantly reduces both computational demands and memory usage, achieving a 47 percent reduction in first-token latency and a decoding speed that is 4.7 times greater on Qualcomm Hexagon NPUs when compared to other decoder-only models. Additionally, the model benefits from hardware-aware tuning techniques, which include a thoughtful 2/3–1/3 split of encoder and decoder parameters, shared weights for input and output embeddings, Dual LayerNorm, rotary positional embeddings, and grouped-query attention, allowing for swift inference rates exceeding 200 tokens per second on devices such as the Surface Laptop 7, along with sub-500 ms response times for settings-related queries. This combination of features positions Mu as a groundbreaking advancement in on-device language processing capabilities.
Description
Syn represents an advanced Japanese large language model, collaboratively developed by Upstage and Karakuri, boasting under 14 billion parameters and tailored specifically for enterprise applications across sectors like finance, manufacturing, legal, and healthcare. It achieves exceptional benchmark results on the Weights & Biases Nejumi Leaderboard, showcasing industry-leading performance in both accuracy and alignment while ensuring cost efficiency through its streamlined architecture, which is inspired by Solar Mini. Additionally, Syn demonstrates remarkable proficiency in Japanese “truthfulness” and safety, adeptly grasping nuanced expressions and specialized terminology within various industries. It also provides versatile fine-tuning options to seamlessly incorporate proprietary data and domain expertise. Designed for extensive deployment, Syn is compatible with on-premises setups, AWS Marketplace, and cloud infrastructures, featuring robust security and compliance measures that cater to enterprise needs. Notably, by utilizing AWS Trainium, Syn is able to cut training expenses by around 50 percent when compared to conventional GPU configurations, thus facilitating swift customization for diverse applications. This innovative model not only enhances operational efficiency but also paves the way for more dynamic and responsive enterprise solutions.
API Access
Has API
API Access
Has API
Integrations
AWS Marketplace
AWS Trainium
Amazon Web Services (AWS)
Solar Mini
Upstage AI
Integrations
AWS Marketplace
AWS Trainium
Amazon Web Services (AWS)
Solar Mini
Upstage AI
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$0.1 per 1M tokens
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Microsoft
Founded
1975
Country
United States
Website
blogs.windows.com/windowsexperience/2025/06/23/introducing-mu-language-model-and-how-it-enabled-the-agent-in-windows-settings/
Vendor Details
Company Name
Upstage AI
Founded
2020
Country
United States
Website
www.upstage.ai/news/introducing-upstage-japan
