Complete Illustrated Guide to GPT-2: Just Read This Article (Part Two)

Complete Illustrated Guide to GPT-2: Just Read This Article (Part Two)

Follow the public account “ML_NLP“ Set as “Starred“, delivering heavy content directly to you! Source | Zhihu Address | https://zhuanlan.zhihu.com/p/79872507 Author | Machine Heart Editor | Machine Learning Algorithms and Natural Language Processing Public Account This article is for academic sharing only, if there is any infringement, please contact us to delete it. In the … Read more

Understanding GPT-3: What Makes It Exceptional?

Understanding GPT-3: What Makes It Exceptional?

CASIA Unlock More Intelligent Beauty GPT-3 has caused a global sensation in the tech community, and almost everyone with a basic understanding of AI knows about it. Discussions surrounding it remain very active to this day. This article aims to provide a brief introduction to GPT-3, hoping to give everyone a real glimpse of what … Read more

60 Lines of Code to Build Your Own GPT Model

60 Lines of Code to Build Your Own GPT Model

MLNLP community is a well-known machine learning and natural language processing community both domestically and internationally, covering NLP graduate students, university professors, and researchers in enterprises. The vision of the community is to promote communication and progress among the academic and industrial circles of natural language processing and machine learning, especially for beginners. Reprinted from … Read more

Building a Simplest GPT Model in 400 Lines of Code

Building a Simplest GPT Model in 400 Lines of Code

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

The Evolution of the GPT Family

The Evolution of the GPT Family

Abstract GPT (Generative Pre-trained Transformer) is a neural network model based on the Transformer architecture, which has become an important research direction in the field of natural language processing. This article will introduce the development history and technological changes of GPT, outlining the technical upgrades and application scenarios from GPT-1 to GPT-3, exploring the applications … Read more

Zhou Hongyi: Four Unexplained Phenomena of GPT

Zhou Hongyi: Four Unexplained Phenomena of GPT

In the face of the incredible intelligence exhibited by the GPT model, we need to correctly understand the profound impact brought by this breakthrough in artificial intelligence. Zhou Hongyi, founder of 360 Group, recently elaborated in a live stream on four incredible capabilities exhibited by the GPT model: emergence, hallucination, language transfer, and logical enhancement. … Read more

Analysis of Rapid Iteration Causes, Development Challenges, and Strategies for AI Models

Analysis of Rapid Iteration Causes, Development Challenges, and Strategies for AI Models

On March 15, OpenAI released the next generation multimodal large model GPT-4. Compared to ChatGPT, which was launched four months ago, GPT-4 has made a qualitative leap in image recognition, integrated processing of image and text data, and logical reasoning. The rapid iteration and innovation of large AI models in the United States poses a … Read more

The 80-Year Journey of Artificial Neural Networks

The 80-Year Journey of Artificial Neural Networks

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

Three Core Abilities of GPT Explained

Three Core Abilities of GPT Explained

Through the previous two articles in this series, we learned about what large language models are and roughly understood the training process of large language models. After completing the training of GPT, computer scientists discovered that it exhibited many surprising abilities. Understanding these abilities is crucial for us to comprehend, learn, and utilize GPT. This … Read more

Overview of Large Multimodal Agents

Overview of Large Multimodal Agents

MLNLP community is a well-known machine learning and natural language processing community both domestically and internationally, covering NLP graduate students, university professors, and corporate researchers. The Vision of the Community is to promote communication and progress between academia, industry, and enthusiasts in the field of natural language processing and machine learning, especially for beginners. Reprinted … Read more