01 Reinforcement Learning (RL), also known as evaluative learning or enhanced learning, is one of the paradigms and methodologies in machine learning used to describe and solve the problem of agents learning strategies to maximize rewards or achieve specific goals through interactions with the environment. It is inspired by the behaviorist theory in psychology, which … Read more
CAA Smart Start, Create the Future Together Abstract: From the perspective of agents, this article introduces and summarizes the research on intelligent vehicles as single-agent systems; it analyzes and elaborates on the research progress of multi-agent systems in typical scenarios of intelligent connected vehicles. It introduces the parallel driving technology of “vehicle-end perception and remote … Read more
Click the “Blue WeChat Name” under the title to quickly follow This article from the technical community, “AI Agents: An Exploration and Introduction from Concept to Practice,” explains some discussions about AI Agents in large models, from which we can understand some basic knowledge about AI Agents. Related historical articles on large models include: “Top-Level … Read more
Will agents become the key to unlocking AGI? The Fudan NLP team comprehensively explores LLM-based Agents. Recently, the Fudan University Natural Language Processing team (FudanNLP) released a survey paper on LLM-based Agents, spanning 86 pages and citing over 600 references! The authors start from the history of AI Agents and provide a comprehensive overview of … Read more
Click the blue text Follow us Deputy Leader of the Expert Group of the China Garment Intelligent Manufacturing Alliance Expert of the Industrial Expert Committee of the China Garment Association Professor of Donghua University, Wen Lisheng I have described in the article “The Garment Manufacturing Industry Must Recognize AI Large Models and Their Applications” that … Read more
Source: Datawhale Datawhale Insights Author: Chen Andong, Datawhale Member Introduction In the current information age, the development speed and influence of Large Language Models (LLMs) are increasingly significant. The powerful reasoning and generation capabilities of large models make them the best components for building intelligent agents. This content is derived from Datawhale’s open-source course “Fundamentals … Read more
Introduction Language Agents, which are intelligent agents based on large language model technology, have great potential for general artificial intelligence (AGI) and large-scale automation of existing human labor if deployed responsibly. They may usher in a new era of scalable artificial intelligence and human collaboration. However, like all new technologies, we must also pay attention … Read more
This article was published in Command Control and Simulation, 2024, Issue 6. Li Wei, Xie Haibin, Chen Shaofei. AI Empowered Combat Systems Under Agent Perspective[J]. Command Control and Simulation. 2024, 46(6): 8-14. Abstract: This paper addresses the issue of intelligent design in combat systems by proposing a conceptual framework and application methods for AI technology … Read more
Introduction: An AI Agent refers to an artificial intelligence system that can autonomously execute tasks in specific environments. It not only receives tasks but also independently formulates and executes work plans while continuously self-evaluating and adjusting during the process, similar to how humans think and correct in creative tasks. The four key design patterns of … Read more
In 2022, the release of ChatGPT led to breakthroughs in the application of large models; in 2023, the “Battle of Hundreds of Models” marked the beginning of the AIGC era. As one of the scenarios for the implementation of large models, the security industry has rapidly developed vertical large models. Meanwhile, the capabilities of security … Read more