Today’s AI agents are capable of perceiving, making decisions, and taking actions independently. With the rise of large language model (LLM)-driven AI agents, we are on the brink of a new era: AI agents may form their own societies and coexist harmoniously with humans. Below, we will discuss what AI agents are, why they are … Read more
Click the “blue text” to follow us I am a self-taught AI enthusiast, hoping to maximize the use of AI to save time and enhance productivity in this era.I will continue to share my learning notes here, and if you are also interested, feel free to follow me and learn together! 01 Background of the … Read more
Have you ever thought about how, in the future factories, production lines could think autonomously, adjust flexibly, and quickly adapt to various changes like humans? This is not a scene from a science fiction movie; with the emergence of AI Agents in industrial intelligence, all of this is gradually becoming a reality. In the era … Read more
Click Follow us by clicking the blue text aboveCover Image:True “Agentic AI” requires intrinsic motivation, predictive models of the world, and sociality. “ 𝕀²·ℙarad𝕚g𝕞 Intelligent Square Paradigm Research: Writing Deconstructs Intelligence, Paradigm Enhances Cognition Current large language models (LLMs), despite exhibiting astonishing intelligence, do not possess true “agency”. The behaviors we perceive as LLM “agents” … Read more
[Image] OpenAI has released a five-level scale for the development of AGI based on its own technology research and product development. OpenAI divides AI development into five stages, each representing a higher level of capability: [Image] Currently, OpenAI is progressing towards multi-agent systems, aligning with the goals of the third stage, where AI agents should … Read more
By 2025, AI has transformed from a cutting-edge concept into one of the core tools driving productivity changes, influencing the global business community in unprecedented ways. From corporate strategic planning to employees’ daily tasks, it has become integral. In contrast, the AI industry in China presents a unique landscape: on one hand, while models like … Read more
Click the blue text to follow us In the previous article, we introduced the interaction methods between users and LLMs, and briefly discussed multi-agent systems (the four modes of user interaction with large models (LLMs) and an introduction to multi-agent systems (MAS)). This article introduces the components of an AI Agent. Agents are complex units … Read more
Generative AI has entered the daily work and life of many people. Nowadays, with just a simple input on a computer, users can generate answers or media content to their questions or needs through DNN models (typically using a large language model, LLM). However, the drawback of this application scenario is the overly simplistic operation, … Read more
Click the top leftsmall earphonescan listen while watching! Welcometo follow and communicate,contact informationsee the end of the article!The space changes because of“you”! Move your fingerslike and share! The Humanoid Robot Industry Chain 1. Industry Chain Overview: Three-Tier Structure and Core Modules (1) Basic Infrastructure Morgan Stanley Model + Industry Consensus (2) Core Components and Value … Read more
Websitehttps://cloud.dify.ai/appsBuilding a Knowledge Q&A System: You are an expert in pharmacy. Use the following content as your knowledge for learning, place it within <content></content> tags, <content>{{}}</content> When answering questions, you can only respond based on the content of the knowledge base, avoid mentioning that you obtained information from context. If you do not know, just … Read more