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 ...

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 ...

The Encoder-Decoder architecture is widely used in sequence-to-sequence tasks such as machine translation, text summarization, and speech recognition. However, traditional Encoder-Decoder models face ...

Since the deep learning boom has started, numerous researchers have started building many architectures around neural networks. It is often speculated that the neural networks are inspired by neurons ...

Large language models (LLMs) have changed the game for machine translation (MT). LLMs vary in architecture, ranging from decoder-only designs to encoder-decoder frameworks. Encoder-decoder models, ...

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

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

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 ...