🤖 Creating and Training a Encoder-Decoder Style Model (from Attention is All You Need) From Scratch In this repo, we'll be working through an example of how we can create, and then train, the ...

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 paper studies a novel pre-training technique with unpaired speech data, Speech2C, for encoder-decoder based automatic speech recognition (ASR). Within a multi-task learning framework, we ...

In this work, we propose StegGuard, a novel fingerprinting mechanism to verify the ownership of a suspect pretrained model using steganography, where the pre-trained model is obtained via ...

Accurate traffic flow forecasting is crucial for managing and planning urban transportation systems. Despite the widespread use of sequence modelling models like Long Short-Term Memory (LSTM) for this ...

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

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