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 ...

Two approaches were implemented, models, one without out attention using repeat vector, and the other using encoder decoder architecture and attention mechanism. nlp natural-language-processing ...

Under the proposed MISEG framework, we leveraged the Encoder-Decoder model to participate the recent DFUC2022 foot ulcer image segmentation challenge. In this challenge, we have recorded an ...

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

Tech giant Microsoft (MSFT) has launched a new small language model called Mu that is built to handle complex language tasks efficiently on devices like Copilot+ PCs. Unlike larger AI models that run ...

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

This Project is based on multilingual Translation by using the Transformer with an encoder-decoder architecture along with the multi-head self-attention layers with the positional encoding and ...