An encoder-decoder architecture is a powerful tool used in machine learning, specifically for tasks involving sequences like text or speech. It’s like a two-part machine that translates one form ...

Microsoft today detailed Mu, its latest small language model (SML) for Copilot+ PCs, which maps NL queries to Settings ...

Google is offering free AI courses that can help professionals and students to upskill themselves. From introduction into ...

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

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

The 330 million parameter model was trained using Azure’s A100 GPUs and fine-tuned through a multi-phase process.

Microsoft recently announced Mu, a new small language model designed to integrate with the Windows 11 UI experience. Mu will work alongside Phi Silica – the ...

It seems that Microsoft thought that Windows didn't have enough artificial intelligence, and so decided to add it right into ...

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

Depending on the application, a transformer model follows an encoder-decoder architecture. The encoder component learns a vector representation of data that can then be used for downstream tasks ...