As demand grows for faster, more capable large language models (LLMs), researchers have introduced a new approach that ...

“Mu is built with only 330 million parameters, but its performance rivals much larger models,” said Microsoft. It uses a transformer-based encoder-decoder architecture, which processes input ...

The encoder–decoder approach was significantly faster than LLMs such as Microsoft’s Phi-3.5, which is a decoder-only model.

An encoder-decoder language model is more efficient than a decoder-only model, Microsoft said. Image: Microsoft Mu is optimized for the NPUs on Copilot+ PCs ...