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 ...

The project regarded the generation of coherent text from noisy speech transcripts using a fine-tuned version of the MultiLexNorm2021 tranformer-based encoder-decoder model.

In this article, we are going to see how we can remove noise from the image data using an encoder-decoder model.

This is followed by an introduction of our encoder model GI-KBGAT, an improved Graph Attention Network for KG, which considers gate mechanism on multi-head attention and interaction between entities ...

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 ...

Text generation is crucial for many applications in natural language processing. With the prevalence of deep learning, the encoder-decoder architecture is dominantly adopted for this task. Accurately ...

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 ...

Recent research sheds light on the strengths and weaknesses of encoder-decoder and decoder-only models architectures in machine translation tasks.