Machine Heart Column Machine Heart Editorial Team Case-based reasoning empowers large model agents to tackle automated data science tasks. Teams from Jilin University, Shanghai Jiao Tong University, and Wang Jun’s team have released a framework focused on data science called DS-Agent. In the era of big data, data science encompasses the entire cycle of extracting … Read more
Note: AI agents are sometimes not the right tools for the job. Recently, a popular prediction is that software engineering will primarily be done by AI agents working autonomously in the background, while human developers mainly manage and guide these agents (supported by figures like Mark Zuckerberg and others). This differs from the “co-pilot” model … Read more
Welcome to the 22nd session of the Demystifying AI course! Today, we will explore the mysteries of AI Agents, understanding their development history, core capabilities, and future trends. AI Agents, also known as intelligent agents, are gradually changing the way we live and work. Let’s take a look at how they work! 1. Development History … Read more
Speaking of AI Agents, it’s like giving machines a brain, allowing them to automatically complete tasks. Today, we will discuss four particularly popular AI Agent workflow design patterns to help you understand the little secrets behind this high technology. Event-Driven AI Agent Event-Driven AI Agent acts like a super guardian, always waiting for something to … Read more
Special Note: Due to WeChat’s recent “update”, it has become quite difficult to see our article pushes if they don’t have a star. Soplease make sure to set our public account as a “starred”, thank you. The way to set it is to click on the public account name above, then click on the “…“, … Read more
In today’s digital age, data has become one of the most valuable assets for enterprises. With the rapid development of artificial intelligence technology, especially the rise of AI agents, the product data management model is undergoing an unprecedented transformation. AI agents, with their powerful autonomous learning, decision-making, and execution capabilities, bring new ideas and methods … Read more
1.Definition An AI Agent is a software or hardware entity capable of perceiving its environment through sensors and affecting it through actuators. It possesses autonomy, reactivity, proactiveness, and learning ability. 2. Core Features Autonomy: Able to operate and make decisions without human intervention. Reactivity: Capable of perceiving environmental changes and responding in real-time. Proactiveness: Not … Read more
With the rapid development of artificial intelligence technology, AI Agents based on Large Language Models (LLMs) have gradually become an important component of intelligent systems. These agents can not only simulate human intelligent behavior but also autonomously perceive, reason, and make decisions in complex environments. This article will detail the role and importance of LLMs … Read more
In recent years, the technology of Retrieval-Augmented Generation (RAG) has gained significant attention in the field of artificial intelligence. However, as demands have become more complex, traditional RAG has shown limitations in handling multi-step reasoning and external tool calls. To address this, Agentic RAG has emerged as an upgraded version of RAG, showcasing more powerful … Read more
So far, we have discussed the architecture of Agent systems, how to organize the system into sub-Agents, and how to build a unified mechanism to standardize communication. Today, we will turn our attention to the tool layer and one of the most important aspects you need to consider in Agent system design: data retrieval. Data … Read more