Generative Pre-trained Transformers (GPTs) have transformed natural language processing (NLP), allowing machines ... importance to each token. Decoder: Uses the encoder’s outputs, along with ...

While effective in various NLP tasks, few LLMs, such as Flan-T5 ... over prefix tokens and unidirectional attention on generated tokens. Like the encoder-decoder architecture, prefix decoders can ...

This Project is based on multilingual Translation by using the Transformer with an encoder-decoder architecture along with the multi ... English to French language using various Techniques of NLP and ...

Transformers are reshaping the field of NLP with their efficiency and scalability, and Encoder-Decoder architectures provide versatile solutions for transforming input data into a different output ...

Image captioning is a fascinating fusion of computer vision (CV) and Natural Language Processing (NLP ... in the encoder part, for extracting objects from an image. Then Long Short-Term Memory (LSTM), ...

The RNN encoder–decoder neural network architecture, introduced by Cho et al ... Attention mechanisms have been a game-changer in many NLP tasks such as text summarization, question answering, ...