✦ ✦ ✦ Abstract One of the core theoretical issues in current artificial intelligence research is the problem of “understanding” in AI. For most computational simulations, people cannot achieve the kind of transparency in the traditional epistemological sense. From the perspective of technical implementation in computational science, given the enormous and complex computational volume, it … Read more
This article is approximately 3200 words long and is recommended for an 8-minute read. This article will outline the key points related to the large language model (LLM) Agent and discuss the important directions for AI Agents in the era of large models. As large language models mature, various AI Agents based on them are … Read more
A few days ago, a dog became famous worldwide due to a game of Go with AlphaGo. So, at the request of a small number of students, I would like to share with everyone what is called artificial intelligence. The definition of artificial intelligence can be divided into two parts: “artificial” and “intelligence.” The term … Read more
Click the blue text Follow us Shen Xiangyang Chairman of the Board of Hong Kong University of Science and Technology, Foreign Member of the National Academy of Engineering, USA On September 5, 2024, the internationally renowned Inclusion Bund Conference was grandly held in Shanghai. In the keynote speech at this conference, Shen Xiangyang, Chairman of … Read more
A popular definition of artificial intelligence, which is also one of the earlier definitions in the field, was proposed by John McCarthy of MIT at the Dartmouth Conference in 1956 (though this is controversial): artificial intelligence is about making machines behave like intelligent human beings. However, this definition seems to overlook the possibility of strong … Read more
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
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
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
Book Giveaway at the End AI Agent has recently become extremely popular. Sam Altman once described the future of AI Agents: “Today’s AI models are the ‘dumbest’ they will ever be; they will only become smarter in the future!” Andrew Ng also praised at the AI Ascent 2024 conference: “This is the golden age of … Read more
AI Five Levels of Artificial Intelligence Agents Cobus Greyling Autonomous AI Agents are capable of independently executing a series of complex tasks to achieve their goals. The terms AI agents, autonomous agents, agentic applications, or what I refer to as agentic X are interchangeable. · Some Background · I really enjoy the example of Agile’s … Read more