Convolutional Neural Networks (CNN): Principles and Applications

Convolutional Neural Networks (CNN): Principles and Applications

In the vast cosmos of artificial intelligence, Convolutional Neural Networks (CNN) shine like a brilliant star, leading the rapid development of computer vision, image recognition, natural language processing, and other fields. Since its inception in the 1980s, CNN has gradually become one of the core algorithms of deep learning due to its unique structure and … Read more

How Reliable Is AI? A Deep Dive into the ‘Hallucination’ Mechanism of Large Models

How Reliable Is AI? A Deep Dive into the 'Hallucination' Mechanism of Large Models

Have you ever encountered a situation where you ask an AI a question, and it provides you with a particularly detailed and logical-sounding answer? However, when we fact-check it, we find that the information is completely fabricated? This is the famous ‘AI Hallucination’ phenomenon. Scroll up and down to see more, image source: 河森堡 新浪微博 … Read more

8 Strategies to Make Your AI Tools More Effective

8 Strategies to Make Your AI Tools More Effective

AI smart assistants require users to input instructions/prompts, which then generate text responses. This is one of the characteristics of large language models (LLMs). Because of the user-friendly nature of LLMs and their diverse applications, they have quickly become ubiquitous in the field of AI technology, penetrating various disciplines.However, many people have reported that AI … Read more

Challenges And Solutions In Linguistics Under ChatGPT Context

Challenges And Solutions In Linguistics Under ChatGPT Context

Source: Han Yu Tang Copyright Notice: The content is for academic sharing only. The copyright belongs to the original author. If there are any infringement issues, please contact us to delete it. Thank you very much! Author Introduction Yuan Yulin, male, born in 1962, from Kunshan City, Jiangsu Province. He graduated from Peking University in … Read more

Tsinghua University’s Sun Maosong: A Glimpse into Natural Language Processing

Tsinghua University's Sun Maosong: A Glimpse into Natural Language Processing

Source: AI Technology Review This article is approximately 6625 words long and is recommended to be read in 10 minutes. This article introduces a deep discussion by Professor Sun Maosong, Executive Vice Dean of the Institute of Artificial Intelligence at Tsinghua University, on the contributions, current state, and future challenges of natural language processing. Recently, … Read more

Liu Haitao: Reflections on Natural Language Processing

This article is adapted from the public account: Quantitative Linguistics This short article was published in “Terminology Standardization and Information Technology” in 2001, and it has been 20 years since then. This is the last article I published during my amateur study of linguistics. This article not only marks the end of my identity as … Read more

An Introduction to AI for Beginners

An Introduction to AI for Beginners

█ What Exactly Is AI?AI is an abbreviation for artificial intelligence. Artificial, many students may misinterpret as some adjective related to art. In fact, artificial means “man-made,” which is the opposite of natural. Intelligence is not easily misinterpreted; it means “intelligence.” The name of Intel Corporation is based on the first five letters of this … Read more

The Challenges of Natural Language Understanding

The Challenges of Natural Language Understanding

This article was originally published on Zhihu by zibuyu9 (Associate Professor Liu Zhiyuan, Tsinghua University). Click to read the original article with the Zhihu link. If you follow natural language processing (NLP) technology on Weibo and Zhihu, you should be familiar with the hashtags #NLP is too difficult# and #Natural Language Understanding is too difficult#. … Read more

Building and Applying Course Knowledge Graphs

Building and Applying Course Knowledge Graphs

1. What Is a Knowledge Graph A Knowledge Graph, also known as knowledge domain visualization or knowledge domain mapping, is a series of various graphics that display the development process and structural relationships of knowledge. It uses visualization technology to describe knowledge resources and their carriers, to mine, analyze, construct, draw, and display knowledge and … Read more

Understanding Transformer Source Code in PyTorch

Understanding Transformer Source Code in PyTorch

Follow the public account “ML_NLP“ and set it as “Starred“, to receive heavy content promptly! Reprinted from | PaperWeekly©PaperWeekly Original · Author | SherlockSchool | Suzhou University of Science and Technology undergraduateResearch Direction | Natural Language Processing Word Embedding The Transformer is essentially an Encoder. Taking the translation task as an example, the original dataset … Read more