GitHub

pranayreddy99/Encoder-to-Decoder-Sequence-to-Sequence-Model

Encoder-Decoder Seq2Seq (Sequence-to-Sequence) is a type of neural network architecture used for machine translation, speech recognition, and other natural language processing tasks. The ...
unite

Decoder-Based Large Language Models: A Complete Guide

Large Language Models (LLMs) have revolutionized the field of natural language processing (NLP) by demonstrating remarkable capabilities in generating human-like text, answering questions, and ...
GitHub

Building a LSTM Encoder-Decoder using PyTorch to make Sequence-to-Sequence Predictions

There are many instances where we would like to predict how a time series will behave in the future. For example, we may be interested in forecasting web page viewership, weather conditions ...