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 ...

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

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

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 ...

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

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.

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.

Quadrature encoders have many uses in position-sensing applications. This implementation uses a Xilinx complex programmable logic device (CPLD) to count the pulses from the encoder ...