As demand grows for faster, more capable large language models (LLMs), researchers have introduced a new approach that significantly reduces response times without compromising output quality. The ...

According to the researchers, the decoder-only model has the disadvantage that it is too large, too slow, and too expensive for many tasks, which can be inconvenient for general users.

The encoder–decoder approach was significantly faster than LLMs such as Microsoft’s Phi-3.5, which is a decoder-only model. “When comparing Mu to a similarly fine-tuned Phi-3.5-mini, ...

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.

Microsoft has introduced Mu, a new small-scale language model designed to run locally on Neural Processing Units (NPUs), starting with its deployment in the Windows Settings application for Copilot+ P ...