Ganesh BajajBrief Summary: Attention Is All You NeedThe dominant sequence transduction models are based on complex recurrent or convolutional neural networks that include an encoder and a…13h ago13h ago
Aman AnandSelf-Attention: The Magic Behind Transformers and the AI RevolutionToday, we’re diving into something that’s at the core of Transformers, and Transformers themselves are at the core of this AI revolution…6d ago6d ago
Milana Shkhanukova100 NLP Questions & ANSWERS| Attention part| Attention mechanism interviewToday we are going to cover probably one of the most important parts for an interview: attention mechanism.Sep 16Sep 16
TimInterpreting Deep Neural Networks: Memorization, Kernels, Nearest Neighbors, and AttentionIn this post, we will present a perspective on viewing Deep neural networks (DNNs) as retrieval machines that memorize their training data…Sep 9Sep 9
KashishTop Interview Questions on Transformer Models You Should KnowIntroduction to TransformersSep 6Sep 6
Muneeb S. AhmadDeep Learning 101: Lesson 30: Understanding Text with Attention HeatmapsThis article is part of the “Deep Learning 101” series. Explore the full series for more insights and in-depth learning here.Sep 4Sep 4
Muneeb S. AhmadDeep Learning 101: Lesson 29: Attention Scores in NLPThis article is part of the “Deep Learning 101” series. Explore the full series for more insights and in-depth learning here.Sep 3Sep 3
Hamid MujtabaIntroduction to Attention MechanismThe attention mechanism is one of the most important inventions in Machine Learning, at this moment (2024) it’s used to achieve impressive…Sep 3Sep 3
Sourav TripathyThe Power of Attention : How AI Models Learn to Focus on What MattersHave you ever wondered how modern AI seems to understand language so well ? Well, let me tell you about this cool thing then..Aug 31Aug 31
