Hello everyone~ Today, let’s talk about the Transformer ~ First, I’ll describe it in very simple terms to ensure that beginners can understand. Transformer is a “super brain” that can process sequential data such as sentences, lyrics, and articles. It excels at these tasks because it can remember and understand how each word in a … 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
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 | Asynchronous | Book Giveaway at the End 01 How to Build the Simplest GPT What is the Learning Method for GPT? Borrowing the famous quote from Linus, “talk is cheap, show me the code”, there is nothing more suitable than building a GPT from scratch. Some students may be intimidated, thinking that something … 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
Machine Heart reports Author: Danjiang Coursera has just launched a special course on GAN, which you might consider taking during this National Day holiday. Generative Adversarial Network (GAN) is one of the most powerful machine learning models today, capable of generating realistic images, videos, and audio outputs. Applications based on GAN are extensive, such as … Read more
© Author | Wang Kunze Affiliation | The University of Sydney Research Direction | NLP The comparison between Batch Norm and Layer Norm has become a cliché in the field of algorithms. The question of why BERT uses layer norm instead of batch norm has been asked to death, and a casual search on Zhihu … Read more
BERT has been very popular recently, so let’s gather some related resources, including papers, code, and article interpretations. 1. Official Google resources: 1) BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Everything started with this paper released by Google in October, which instantly ignited the entire AI community, including social media: https://arxiv.org/abs/1810.04805 2) GitHub: … Read more
In Chapter 2, we saw what is needed to fine-tune and evaluate a Transformer. Now let’s take a look at how they work under the hood. In this chapter, we will explore the main components of the Transformer model and how to implement them using PyTorch. We will also provide guidance on how to do … Read more