Living in Xili, Shenzhen, very close to the Tsinghua University Shenzhen Graduate School, Professor Wen is a good friend introduced to me by my friend Gao Zhi. Over the past year, we have met three times, and each time he has encouraged my research. Yesterday, Professor Wen sent me his latest research. A year ago, … Read more
This series of articles is based on the scenario initiated by American telecom giant Verizon, British Telecom BT Group, and UAE Telecom Etisalat, focusing on the TMF Catalyst project: Unleash the potential of GenAI-powered 5G network slicing. TMF Catalyst project As the commercial deployment of 5G deepens, network slicing, as a core technology, provides customized … Read more
As the LangChain ecosystem matures, the AI applications we build are evolving from simple “question-answering bots” to complex “agent collaboration systems.” LangGraph, as a powerful tool in the LangChain ecosystem for building stateful, multi-step AI applications, offers elegant support for multi-agent systems as one of its core values. Why Multi-Agent? What is an Agent? Essentially, … Read more
2025/09/16 Rebuild-Z 2025 Sharing Session Issue 2 A26 Team Introduction Hello everyone, today is the second issue of our Rebuild-Z excellent team sharing session! In the first issue, we introduced the A14 team from Track 4 – they prepared for the competition in 5 days, disassembling old robots for parts, and added AI interaction just … Read more
Within a month, the handling time for pre-sales inquiries was reduced from 2 minutes to 17 seconds, and the handling time for complex after-sales issues was cut from 7 minutes to 3 minutes. This is not magic, but a transformation brought about by multi-agent systems. In today’s fast-paced business environment, customer service has become one … Read more
An AI agent is an artificial intelligence system capable ofautonomously perceiving the environment, planning tasks, executing actions, and achieving goals. It is not merely a text-generating model (like DeepSeek), but possesses the complete capability of“brain + limbs”, able to call tools, handle multi-step tasks, and adjust behavior based on feedback.The core features include: Autonomy: Independent … Read more
Editor’s Recommendation In traditional enterprise architecture, high-performance message queues (MQ) and messaging systems have always been the cornerstone of Event-Driven Architecture (EDA). They serve as the “glue” that allows distributed systems to maintain high throughput and low latency while providing better fault tolerance and retry capabilities in failure scenarios. So, in today’s era of AI … Read more
Multi-Agent Game Conducting research involves a profound system of thought, requiring researchers to be logical, meticulous, and earnest. However, effort alone is not sufficient; often leveraging resources is more important than sheer hard work. Additionally, one must have innovative and inspirational points of view. It is recommended that readers browse through the content in order … Read more
🌟 According to Yu Shi In this article, Anthropic reveals how the multi-agent system behind Claude has evolved from prototype to production. The article focuses on sharing their key experiences and lessons learned in system architecture, tool design, and prompt engineering. While this article may seem to conflict with the previous article on reliable multi-agent … Read more
Hello everyone! This is a channel focused on cutting-edge AI and agents~ Following the releases of Deep Research by Google, OpenAI, and Perplexity, the University of Oxford has published a paper titled “Agentic Reasoning: Reasoning LLMs with Tools for the Deep Research” and has open-sourced the code. Today, let’s take a detailed look at their … Read more