Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • Qloo Reviews & Ratings
    23 Ratings
    Company Website
  • Vehicle Acquisition Network (VAN) Reviews & Ratings
    54 Ratings
    Company Website
  • Google Cloud BigQuery Reviews & Ratings
    2,023 Ratings
    Company Website
  • 3Q Reviews & Ratings
    14 Ratings
    Company Website
  • Google Cloud Speech-to-Text Reviews & Ratings
    366 Ratings
    Company Website
  • LTX Reviews & Ratings
    182 Ratings
    Company Website
  • ChatD&B Reviews & Ratings
    Company Website
  • EBizCharge Reviews & Ratings
    207 Ratings
    Company Website
  • Checksum.ai Reviews & Ratings
    1 Rating
    Company Website
  • LM-Kit.NET Reviews & Ratings
    29 Ratings
    Company Website

What is Mu?

On June 23, 2025, Microsoft introduced Mu, a cutting-edge language model boasting 330 million parameters and designed to significantly improve the agent experience in Windows environments by seamlessly converting natural language questions into functional calls for Settings, with all operations executed on-device via NPUs at an impressive speed exceeding 100 tokens per second while maintaining high accuracy. Utilizing Phi Silica optimizations, Mu's encoder-decoder architecture employs a fixed-length latent representation that notably minimizes computational requirements and memory consumption, achieving a 47 percent decrease in first-token latency and delivering a decoding speed that is 4.7 times faster on Qualcomm Hexagon NPUs in comparison to traditional decoder-only models. Furthermore, the model is enhanced by hardware-aware tuning methodologies, which incorporate a strategic 2/3–1/3 division of encoder and decoder parameters, shared weights for both input and output embeddings, Dual LayerNorm, rotary positional embeddings, and grouped-query attention, facilitating rapid inference rates that surpass 200 tokens per second on devices like the Surface Laptop 7, along with response times for settings-related queries that are under 500 ms. This impressive blend of features and optimizations establishes Mu as a revolutionary development in the realm of on-device language processing capabilities, setting new standards for speed and efficiency. As a result, users can expect a more intuitive and responsive experience when interacting with their Windows settings through natural language.

What is Gemma 2?

The Gemma family is composed of advanced and lightweight models that are built upon the same groundbreaking research and technology as the Gemini line. These state-of-the-art models come with powerful security features that foster responsible and trustworthy AI usage, a result of meticulously selected data sets and comprehensive refinements. Remarkably, the Gemma models perform exceptionally well in their varied sizes—2B, 7B, 9B, and 27B—frequently surpassing the capabilities of some larger open models. With the launch of Keras 3.0, users benefit from seamless integration with JAX, TensorFlow, and PyTorch, allowing for adaptable framework choices tailored to specific tasks. Optimized for peak performance and exceptional efficiency, Gemma 2 in particular is designed for swift inference on a wide range of hardware platforms. Moreover, the Gemma family encompasses a variety of models tailored to meet different use cases, ensuring effective adaptation to user needs. These lightweight language models are equipped with a decoder and have undergone training on a broad spectrum of textual data, programming code, and mathematical concepts, which significantly boosts their versatility and utility across numerous applications. This diverse approach not only enhances their performance but also positions them as a valuable resource for developers and researchers alike.

Media

Media

Integrations Supported

C#
CSS
Elixir
Google Cloud Platform
HTML
JavaScript
Kotlin
LM-Kit.NET
LlamaCoder
MedGemma
Molmo
NVIDIA DRIVE
Ollama
Python
R
Ruby
Rust
Scala
VESSL AI
Visual Basic

Integrations Supported

C#
CSS
Elixir
Google Cloud Platform
HTML
JavaScript
Kotlin
LM-Kit.NET
LlamaCoder
MedGemma
Molmo
NVIDIA DRIVE
Ollama
Python
R
Ruby
Rust
Scala
VESSL AI
Visual Basic

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

blogs.windows.com/windowsexperience/2025/06/23/introducing-mu-language-model-and-how-it-enabled-the-agent-in-windows-settings/

Company Facts

Organization Name

Google

Company Location

United States

Company Website

ai.google.dev/gemma

Categories and Features

Popular Alternatives

CodeT5 Reviews & Ratings

CodeT5

Salesforce

Popular Alternatives

GLM-OCR Reviews & Ratings

GLM-OCR

Z.ai
Gemma 3 Reviews & Ratings

Gemma 3

Google
Gemma Reviews & Ratings

Gemma

Google
Falcon-7B Reviews & Ratings

Falcon-7B

Technology Innovation Institute (TII)