“Most people never take a glance beyond this earthly world before they die.” — Liu Cixin, The Three-Body Problem In the process of learning and using new technologies, the yearning for new knowledge generates internal motivation. Internal motivation and interest are the two best teachers. When using large language models for writing, it is necessary … Read more
The development of Knowledge Graphs (KG) is closely linked to the advancements in Artificial Intelligence (AI) agents. Starting from their static origins, knowledge graphs have evolved to include dynamic, temporal, and event-driven paradigms, each unlocking new capabilities for AI systems. This article explores their evolution and how Large Language Models (LLM) integrate into these advancements. … Read more
↑ Click the above “Era Java” to follow us, Focus on New Technologies, Learn New Knowledge! Google’s latest white paper defines an AI Agent as a large model application that can observe the world, utilize tools, and take actions to achieve specific goals. It not only possesses autonomy but can also actively infer the next … Read more
The trend of AI Agents is beginning to spread to the Web3 gaming sector. On January 17, Solana officially promoted the ecological game fundraising platform Indie.fun, quickly attracting market attention. Indie.fun is a platform similar to Pump.fun, focused on providing community-driven fundraising support for game projects within the Solana ecosystem. What is the background of … Read more
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