1. BackgroundRecently, I have been learning some knowledge related to AI Agents. The purpose of writing this article is to clarify the context of the knowledge I have acquired, making it easier for deeper learning in the future.2. What is LLMLLM (Large Language Model) technology has developed rapidly in recent years, and there are now … Read more
Background of Agentic AI The initial product form of LLM was the ChatBot led by OpenAI, supported by the Transformer architecture large language model, which initially focused on AI applications in the field of language text. LLM ChatBots have profoundly changed our work and life. With the popularization of LLM technology in toC and toB … Read more
Introduction When AI first emerged, it was simply a chatbot interface. Over time, it has gradually added functionalities, such as internet connectivity, tool configuration, and custom workflows for agents. With agents, AI can be applied to various real-world business scenarios, marking a process of gradual evolution and implementation. For instance, AI programming, which we programmers … Read more
There is fiber optic at the intersection Reading time required 9 minutes Speed reading only takes 3 minutes / Fundamentals of AI Agents / 1 Introduction Preview An AI Agent is an intelligent system capable of autonomous reasoning, tool invocation, and task execution. Unlike large language models that can only engage in conversation, it can … Read more
Recently, the AI image generation model “Nano Banana” (Gemini 2.5 Flash Image) has gained immense popularity worldwide. Google quickly released an official prompt guide, sparking a wave of practical applications on platforms like Xiaomoshub, particularly in generating realistic figurine images that have taken the global market by storm. 1. Background and Core Features of Nano … 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
WeChat Now The open-source community sends you a message ——How to learn C++? Reference for the Fall Semester 2024 01 Course Introduction Starting from the 2024 cohort, the course “Artificial Intelligence and Innovation (C++)” has undergone a series of reforms, placing greater emphasis on the ability to program with AI integration, rather than traditional programming. … Read more
Since the era of ChatGPT, there has been a growing consensus: the core of large model applications is not an algorithmic issue, but an engineering issue. The large model itself is already in place as infrastructure; the key lies in how to solve practical problems such as memory storage, context management, tool invocation, and prompt … Read more
Deep Research The Core Capability of the Agent Era 2025 is referred to as the year of the Agent’s implementation, and one of the most representative scenarios unlocked is Deep Research or various applications based on it. Why is this the case? Because through Agentic RAG and its accompanying reflection mechanism, Deep Research drives LLM … Read more
Architect (JiaGouX)We are all architects!Will you join in shaping the future? Recently, Anthropic shared their best practices in building multi-agent research systems, focusing on8 principles of prompt engineering and evaluation for research agents:Claude now possesses research capabilities, able to complete complex tasks through web searches, Google Workspace, and any integrated tools.AnthropicThe architecture of the multi-agent … Read more