GPT-like transformer model consisting of an encoder and a decoder for various natural language processing tasks, including text classification and language modeling. - ...

Encoder: A multi-layer transformer encoder that processes input sequences and generates contextual embeddings.; Classifier: A feedforward neural network that takes the encoder's output and predicts ...

BERT: Encoder-only architecture with multiple layers of transformer blocks. GPT: Decoder-only architecture, also with multiple layers but designed for generative tasks. T5: Encoder-decoder ...

Like previous NLP models, it consists of an encoder and a decoder, each comprising multiple layers. However, with transformers, each layer has multi-head self-attention mechanisms and fully ...

Tamil language processing in NLP has yet to be outstanding, mainly because of the absence of high-quality resources. In this project, a novel approach to address these limitations is to build an ...

The positional encodings and the word vector embeddings are summed together then passed into both the encoder and decoder networks. While transformer neural networks use encoder/decoder schemas just ...