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 ...

Standard transformer architecture consists of three main components - the encoder, the decoder and the attention mechanism. The encoder processes input data ...

OpenAI describes Whisper as an encoder-decoder transformer, a type of neural network that can use context gleaned from input data to learn associations that can then be translated into the model's ...

The core innovation lies in replacing the traditional DETR backbone with ConvNeXt, a convolutional neural network inspired by ...

Dr. James McCaffrey of Microsoft Research uses the Hugging Face library to simplify the implementation of NLP systems using Transformer Architecture (TA) models. This article explains how to compute ...

AlloyBert is a transformer-based model ... AlloyBert's foundational model is RoBERTa, a pre-existing encoder. RoBERTa was used due to its self-attention mechanism, a feature that allows the ...