ML-Papers-Explained
Explanation to key concepts in ML
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ML Papers Explained Explanations to key concepts in ML Language Models Paper Date Description --------- Transformer June 2017 An Encoder Decoder model, that introduced multihead attention mechanism for language translation task. Elmo February 2018 Deep contextualized word representations that captures both intricate aspects of word usage and contextual variations across language contexts. Marian MT April 2018 A Neural Machine Translation framework written entirely in C++ with minimal dependencies, designed for high training and translation speed. GPT June 2018 A Decoder only transformer which is autoregressively pretrained and then finetuned for specific downstream tasks using…
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