🤖 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 ...

But not all transformer applications require both the encoder and decoder module. For example, the GPT family of large language models uses stacks of decoder modules to generate text.

This model outperformed traditional encoder-decoder architectures on long sequences, allowing the team to condition on many reference documents and generate coherent and informative Wikipedia articles ...

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 Corporation (NASDAQ:MSFT) is one of the best US tech stocks to buy now. On June 23, Microsoft officially launched a ...