Transformers

There are many good resources explaining the transformer architecture online, but Rotary Position Embedding (RoPE) is commonly poorly explained or skipped entirely. RoPE was first introduced within the paper RoFormer: Enhanced Transformer with Rotary Position...

forecasting errors are usually not brought on by bad time-series models. They're brought on by ignoring structure. SKUs don't behave independently. They interact through shared plants, product groups, warehouses, and storage locations. A requirement shock...

(NLP) revolutionized how we interact with technology. Do you remember when chatbots first appeared and appeared like robots? Thankfully, that’s prior to now! Transformer models have waved their magic wand and reshaped NLP tasks....

of my Machine Learning Advent Calendar. Before closing this series, I would really like to sincerely thank everyone who followed it, shared feedback, and supported it, specifically the Towards Data Science team. Ending this calendar...

Most languages use word position and sentence structure to extract meaning. For...

— that he saw further only by standing on the shoulders of giants — captures a timeless truth about science. Every breakthrough rests on countless layers of prior progress, until someday … all...

While working on my Knowledge Distillation problem for intent classification, I faced a puzzling roadblock. My setup involved a teacher model, which is RoBERTa-large (finetuned on my intent classification), and a student model, which...

! My name is Kirill Khrylchenko, and I lead the RecSys R&D team at Yandex. One in all our goals is to develop transformer technologies inside the context of recommender systems, an objective we’ve...