1 Algorithm Introduction The Transformer is a model that uses the attention mechanism to improve the training speed of the model. The Transformer can be said to be a deep learning model that is completely based on the self-attention mechanism, as it is suitable for parallel computation, and its inherent model complexity results in higher … Read more
Click on the above “Beginner Learning Visuals” to select “Star” or “Pin” Important content delivered promptly Author: Wang Bo Kings, Sophia Overview of the Content of This Article: Wang Bo Kings’ Recent Learning Notes on Transformer Recommended AI Doctor Notes Series Weekly Zhi Hua’s “Machine Learning” Handwritten Notes Officially Open Source! Printable version with PDF … Read more
Author: Wang Chen, Who Asks Questions@Zhihu (Authorized) Source: https://www.zhihu.com/question/362131975/answer/3058958207 Editor: Jishi Platform Why Summarize Transformers Through Eighteen Questions? There are two reasons: First, the Transformer is the fourth major feature extractor after MLP, RNN, and CNN, also known as the fourth foundational model; the recently popular chatGPT is also built on the Transformer, highlighting its … Read more
Transformer is a model that utilizes the attention mechanism to improve the training speed of models. For more information about the attention mechanism, you can refer to this article (https://zhuanlan.zhihu.com/p/52119092). The transformer can be said to be a deep learning model that is entirely based on the self-attention mechanism, as it is suitable for parallel … Read more
This article will cover theessence of Transformer, the principles of Transformer, and improvements in Transformer architecture in three aspects to help you understand Transformer. 1. Essence of Transformer Transformer Architecture: It mainly consists of four parts: input section (input-output embeddings and position encoding), multi-layer encoder, multi-layer decoder, and output section (output linear layer and Softmax). … Read more
5.17 The Intellectual The Intellectual Image Source: Pixabay Written by | Sun Ruichen Edited by | Li Shanshan ● ● ● Today, large language pre-trained neural network models such as ChatGPT have become widely known names. However, the algorithmic core behind GPT—the artificial neural network algorithm—has undergone an 80-year rollercoaster of ups and downs. During … Read more
History of AI: The Evolution of AI Waves It is widely believed that AI has experienced two waves and is now undergoing a third wave. Below, we will review the history of AI and understand what AI really is. （ Image Source: Internet） What Exactly is AI—General AI vs. Narrow AI No technology currently exists … Read more
Artificial Intelligence The Intelligent Force Reshaping the World Artificial Intelligence (AI), as one of the hottest topics in today’s technology field, is changing our lives, work, and social structures at an unprecedented speed. AI, short for Artificial Intelligence, involves various disciplines such as computer science, mathematics, statistics, philosophy, and psychology, aiming to simulate, extend, and … Read more
█ What Exactly Is AI? AI is short for artificial intelligence. The term artificial can confuse many students who may think it relates to the adjective for art. However, artificial means “man-made” or “synthetic,” which is the opposite of natural. Intelligence is not easily mistaken; it means “intelligence.” The name of Intel Corporation is based … Read more
Technical Column Author: lyl Compiled by: Rabbit What should the new technical column write about? This question has troubled our engineers for a long time. Regarding deep learning, there is an abundance of materials and literature available online; as long as everyone is willing to learn, there is everything from beginner to advanced. Until one … Read more