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 ...

There was an error while loading. Please reload this page. In this repo, we'll be working through an example of how we can create, and then train, the original ...

Not just GPT-3, the previous versions, GPT and GPT-2, too, utilised a decoder only architecture. The original Transformer model is made of both encoder and decoder, where each forms a separate stack.

the GPT family of large language models uses stacks of decoder modules to generate text. BERT, another variation of the transformer model developed by researchers at Google, only uses encoder ...

The initial transformer model has 6 stacks of identical encoder-decoder layers with an attention mechanism whose aim is to push limitations of common recurrent language models and encoder-decoder ...

This is particularly true for the simplest form of a single block encoder-decoder Transformer model, which can be finely tuned through optimised hyperparameters. This paper examines the performance of ...