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 ...

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

which subsequent model components then process to generate responses. Encoders in multimodal systems typically employ convolutional neural networks (CNNs) for visual data and transformer-based ...

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 ...