The previous article introduced the basic concepts, mainstream architectures, and application frameworks of AI Agents. In this article, we begin to review the AI Agents of 2024, starting with the well-known best practices from Anthropic: Building Effective Agents. For the original text, see [1]. This article summarizes the main content. Over the past year, Anthropic … Read more
We are transitioning from a “play-to-earn” model to a more exciting era: games that are rich in genuine fun and infinitely scalable. Author: Sid, IOSG Ventures Original Title: IOSG Weekly Brief | The Integration of Gaming, AI Agents, and Cryptocurrency #260 Cover: Photo by Lorenzo Herrera on Unsplash This article is for educational exchange only … Read more
▲Click on the top Leifeng Network to follow Since 2012, the field of Natural Language Processing (NLP) has entered the era of neural networks for 7 years. Where is the future development heading? Let’s see how Dr. Zhou Ming, the chairman of ACL 2019 and vice president of Microsoft Research Asia, interprets it~ Written by … Read more
Follow the public account “ML_NLP“ Set as “Starred“, heavy content delivered immediately! Source | Zhihu Address | https://zhuanlan.zhihu.com/p/79041829 Author | mantch 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. 1. What is NLP Natural … Read more
Author: Le Yuquan, a master’s student at Hunan University, focusing on machine learning and natural language processing, has published several articles in conferences/journals such as IJCAI and TASLP. This article is a summary of the author’s learning process. Like-minded friends are welcome to follow the author’s WeChat public account “AI Beginner” for discussions and learning … Read more
In the era of AI, semantic processing will become the core of operating systems, and all software technologies will establish their upper limits based on advancements in semantic technology. By | Gong Zhouzhou Editor | Yan Zi Typesetting Editor | Xiao Shuang Once again, GPT-4 has overshadowed all the established tech companies. In the third … Read more
LLM: The Transformer of Natural Language Processing In today’s digital age, Large Language Models (LLM) are key technologies in the field of artificial intelligence, profoundly changing the landscape of natural language processing at an unprecedented pace. LLMs are based on deep learning and can understand and generate human language. Their core principles and architecture are … Read more
Part Six How Expert Systems Are Implemented (Nine) Department of Computer Science, Tsinghua University, Mao Shaoping Section Nine Limitations of Expert Systems Dr. Ai: Although expert systems have been applied in various degrees, they still have some limitations that affect their development and usage. Firstly, the bottleneck problem of knowledge acquisition has not been well … Read more
Rumors Stop at FakeCatcher. Compiled by | Zi Pei On January 13, ZhDongxi reported that with the popularity of one-click face-swapping applications like Deepfake, more and more ordinary people can easily modify the images and even the voices of people in videos, achieving a level of realism that is hard to distinguish from the real … Read more
Have you ever mistaken an AI-generated user avatar for a real person on social media? As “deepfake” technology approaches realism and even bypasses the uncanny valley effect, the line between “true” and “false” has been redefined. As one of the most significant manifestations of “deepfake” technology, AI synthesis technology has been widely applied in the … Read more