Mu Language Model is a Small Language Model (SLM) from Microsoft that acts as an AI Agent for Windows Settings. Read this ...

This repository contains an implementation of the Transformer Encoder-Decoder model from scratch in C++. The objective is to build a sequence-to-sequence model that leverages pre-trained word ...

This project was performed as the final project of the course 02456 Deep learning at the Technical University of Denmark. The project regarded the generation of coherent text from noisy speech ...

Microsoft is aggressively pushing genAI features into the core of Windows 11 and Microsoft 365. The company introduced a new developer stack called Windows ML 2.0 last month for developers to make AI ...

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, ...

Visual Question Answering (VQA) is a multimodal task involving Computer Vision (CV) and Natural Language Processing (NLP), the goal is to establish a high-efficiency VQA model. Learning a fine-grained ...

In this article, we are going to see how we can remove noise from the image data using an encoder-decoder model. We will go through two approaches of denoising with encoder-decoder, one with dense ...

In this paper, we propose an encoder-decoder model which embeds the interaction between entities and relations, and adds a gate mechanism to control the attention mechanism. Experimental results show ...

Then, an encoder-decoder structure with a dual bi-directional LSTM encoder is proposed as a basis for route ... Experiments on eight real-world datasets show that our model achieves a 9.8% improvement ...