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
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
Author: Li Yuanyuan This article is about 3000 words long, recommended reading time is 6 minutes. This article introduces the evolution of the GPT model. 1 Overview of GPT Models The GPT model, short for Generative Pre-trained Transformer, was developed by the OpenAI team and is a deep learning-based natural language processing model. It learns … Read more
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
1. Introduction With the rapid evolution of generative artificial intelligence, multimodal large models are increasingly demonstrating their advantages in multimodal content understanding and generation. The multimodal large model (hereinafter referred to as “large model”) refers to artificial intelligence models capable of processing and understanding various modal data inputs such as text, images, audio, and video. … Read more
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
AI isthe Excavator of the Knowledge Era,significantly enhancing teaching and research productivity. Here are a series of articles by Teacher Wang Jue on AI teaching skills, feel free to check them out: #ai Teacher Wang Jue’s Collection of AIGC Educational Application Articles —————————————— [Publication Note] I previously published an article on the “AI Socratic Thinking … Read more
Introduction How can agents be endowed with the ability to comply with social norms and allow social norms to spontaneously emerge in AI societies? Recently, a team led by Professor Wang Zhen from Northwestern Polytechnical University and researcher Hu Shuyue from the Shanghai Artificial Intelligence Laboratory proposed the first normative framework for multi-agent systems based … Read more
MLNLP community is a well-known machine learning and natural language processing community in China and abroad, covering NLP graduate students, university teachers, and industry researchers. The vision of the community is to promote communication and progress between the academic and industrial circles of natural language processing and machine learning, especially for beginners. Reprinted from | … Read more
Depending on the goals we wish to achieve and the criteria by which we measure success, there are various methods to create artificial intelligence. The scope is extremely broad, ranging from highly complex systems like autonomous driving and robotics to common components of our daily lives, such as facial recognition, machine translation, and email classification, … Read more