Click on the above “Beginner Learning Vision” to choose to add a Star or “Top” Important content delivered promptly Almost all natural language processing tasks, from language modeling and masked word prediction to translation and question answering, have undergone revolutionary changes since the Transformer architecture first appeared in 2017. The Transformer also performs excellently in … Read more
1. Algorithm Introduction Deep learning (DL) is a new research direction in the field of machine learning. By simulating the structure of the human brain’s neural network, it enables the analysis and processing of complex data, solving the difficulties traditional machine learning methods face when dealing with unstructured data. Its performance has significantly improved in … Read more
Source: AI Technology Online Today, I will share an article about the deep learning model Transformer. I would call it the best article explaining the Transformer model. The article mainly introduces the specific implementation of the Transformer model: Overall Architecture of Transformer Overview of Transformer Introduction to Tensors Self-Attention Mechanism Multi-Head Attention Mechanism Position-wise Feed-Forward … Read more
1.Origin Transformers are an important deep learning architecture that originated in the fields of computer science and artificial intelligence. They have achieved remarkable success in natural language processing and other sequential data tasks. The history and evolution of this architecture are worth exploring. The story of Transformers began in 2017, when Vaswani et al. first … 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
Click on the above “Beginner’s Visual Learning” to select “Add to Favorites” or “Pin” Essential content delivered immediately Source: Python Data Science This article is about 7200 words long and is recommended to read in 14 minutes. In this article, we will explore the Transformer model and understand how it works. 1. Introduction Google’s BERT … Read more
Introduction The transformer is a framework that cannot be overlooked in the field of NLP and even deep learning as a whole. Most large language models (LLMs) are trained using it to generate models, so the transformer is a framework that every robot developer or artificial intelligence developer cannot bypass. This article will gradually unveil … Read more
Source: Chen Wei Talks on Chips, This article will introduce the characteristics, functions, technical architecture, limitations, industrial applications, investment opportunities, and future of ChatGPT. Author: Dr. Chen Wei, the author previously served as the chief scientist of a Huawei-affiliated natural language processing (NLP) company. Integrated storage/computing/GPU architecture and AI expert, senior title. Expert in the … Read more
Click the card below to follow us↓↓↓ Recently, ChatGPT has become a phenomenal hot topic. Everyone is very concerned about its technology, impact, and other related content. This article provides professional answers to ten questions about ChatGPT. 1. How Popular Is ChatGPT Right Now? On November 30, 2022, ChatGPT was launched, sparking heated discussions worldwide. … Read more
Source: Cultural Heritage Circle Research on the Application Prospects of Natural Language Processing Technology in the Museum Field Taking ChatGPT as an Example[1]* Zhou Dingkai, Zhang Fenglin, Ding Zhiguo, Chen Yufei, Mao Ruohan Abstract This paper introduces the basic components of ChatGPT based on natural language processing technology and its advantages in natural language generation … Read more