How 3 Turing Awardees Republished Key Methods and Ideas Whose Creators They Failed to Credit
Whose Creators They Failed to Credit
Source: people.idsia.ch
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AI Research Blog - The Transformer Blueprint: A Holistic Guide to the Transformer Neural Network Architecture
A deep dive into Transformer a neural network architecture that was introduced in the famous paper “attention is all you need” in 2017, its applications, impacts, challenges and future directions
Source: deeprevision.github.io
Understanding Large Language Models
A Cross-Section of the Most Relevant Literature To Get Up to Speed
Source: sebastianraschka.com
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
Source: bmk.sh
Understanding Transformers, the machine learning model behind GPT-3
How this novel neural network architecture changes the way we analyze complex data types, and powers revolutionary models like GPT-3 and BERT.
Source: thenextweb.com