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The Decade of Deep Learning

As the 2010’s draw to a close, it’s worth taking a look back at the monumental progress that has been made in Deep Learning in this decade.[1] Driven by the development of ever-more powerful comput ....

Christopher Watkin , Lee Sedol , Group Normalization , Neural Networks , Convolutional Neural Networks , Generative Adversarial Networks , Value Network Architectures Source , Rectifier Nonlinearities Improve Neural Network Acoustic Models , Convolutional Networks For Large , Accurate Deep Network , Highway Networks , Convolutional Neural Network , Network Training , Sparse Rectifier Neural Networks , Deep Learning , Computer Vision , Natural Language , Delving Deep , Surpassing Human Level Performance , Imagenet Classification , Best Multi Stage Architecture , Accurate Deep Network Learning , Exponential Linear Units , Normalizing Neural Networks , Error Linear Units , Net Classification ,

Understanding ChatGPT

ChatGPT is a deep-learning model created by OpenAI whose ability to generate human-like prose has made AI a topic of conversation. Learn more ....

Jakob Uszkoreit , Niki Parmar , Noam Shazeer , Ashish Vaswani , Aidann Gomez , Illia Polosukhin , Swiss Army , Google Translate , Long Short Term Memory , Machine Learning , Encoder Representations , Bidirectional Encoder Representations , Deep Bidirectional Transformers , Masked Language , Large Language Model , Generative Pretrained Transformer , Common Crawl , Microsoft Azure , Few Shot Learners , Llion Jones ,

Deploying Transformers on the Apple Neural Engine

An increasing number of the machine learning (ML) models we build at Apple each year are either partly or fully adopting the [Transformer… ....

Illia Polosukhin , Kristina Toutanova , Noam Shazeer , Lukasz Kaiser , Francesco Rossi , Atila Orhon , Youchang Kim , Jakob Uszkoreit , Niki Parmar , Ming Wei Chang , Aidann Gomez , Vignesh Jagadeesh , Aseem Wadhwa , Kenton Lee , Research To Production , Research Papers , Party Libraries To Core , Apple Neural Engine , Hugging Face , Neural Engine , Metal Performance Shaders , Behind Optimizing Transformers , Bright Data , Chunking Large Intermediate , Minimizing Memory , From Pytorch ,