Microsoft Corp. (MSFT) has introduced a compact, on-device language model named Mu, designed for fast and private AI ...

Microsoft has unveiled Mu, a compact AI language model designed to operate entirely on a PC’s Neural Processing Unit (NPU).

Mu is built on a transformer-based encoder-decoder architecture featuring 330 million token parameters, making the SLM a good ...

The Mu small language model enables an AI agent to take action on hundreds of system settings. It’s now in preview for some ...

The Transformer's architecture uses two main parts: an encoder and a decoder. The encoder processes the input data and creates a detailed, meaningful representation of that data using layers of ...

Apple’s latest research hints that a long-forgotten AI technique could have new potential for generating images. Here’s the breakdown.

The separation of encoder and decoder components represents a promising future direction for wearable AI devices, efficiently balancing response quality, privacy protection, latency and power ...