In recent years, with the rapid development of large model technology, the Transformer architecture has gained widespread attention as its core cornerstone. This article will delve into the principles ...

This repository contains the first collection of paired encoder-only and decoder-only models trained with identical data, architecture, and training recipes. Ettin enables fair comparisons between ...

Seq2Seq is essentially an abstract deion of a class of problems, rather than a specific model architecture, just as the ...

NVIDIA's TensorRT-LLM now supports encoder-decoder models with in-flight batching, offering optimized inference for AI applications. Discover the enhancements for generative AI on NVIDIA GPUs.

An Encoder-decoder architecture in machine learning efficiently translates one sequence data form to another.

Discover the key differences between Moshi and Whisper speech-to-text models. Speed, accuracy, and use cases explained for your next project.

This research paper introduces an innovative AI coaching approach by integrating vision-encoder-decoder models. The feasibility of this method is demonstrated using a Vision Transformer as the encoder ...

LSTM-Based Encoder-Decoder Text Summarizer Built from Scratch This project is a text summarization tool built entirely from scratch using an LSTM-based encoder-decoder architecture.