With the continuous development and popularization of large models, many people have clearly experienced that large language models (LLMs) have become very mature in simple office scenarios, but it is challenging to apply them in more complex business contexts. To achieve this goal, a lot of professional technical support is needed. This has led to … Read more
*Please give a thumbs up, this will motivate me to publish more great articles~ *When reprinting this article, please include all reference links AI AGENT “Artificial Intelligence Agent typically refers to an automated and/or intelligent system capable of performing tasks or achieving goals within its environment. These agents utilize various AI technologies, including machine learning, … Read more
Since the launch of ChatGPT, many first-wave generative AI applications have emerged as variants of chat systems using Retrieval-Augmented Generation (RAG) models on document corpora. While significant efforts are being made to enhance the robustness of RAG systems, different teams are beginning to construct the next generation of AI applications, focusing on a common theme: … Read more
The field of Artificial Intelligence (AI) is rapidly evolving.Today’s AI agents are capable of perceiving, making decisions, and taking actions independently. With the rise of AI agents driven by large language models (LLMs), we are on the brink of a new era: AI agents may form their own societies and coexist harmoniously with humans. Newton … Read more
Introduction: J.A.R.V.I.S from Iron Man In the movie Iron Man, J.A.R.V.I.S is an impressive AI assistant. As Tony’s capable aide, he is both reliable and intelligent, capable of connecting to any computer terminal, controlling Tony’s Iron Man suit, and discussing action plans with Tony. The success of J.A.R.V.I.S lies in his highly intelligent AI system, … Read more
Multi-Agent Large Language Model (LLM) systems can fail? Recently, the University of California, Berkeley published a significant paper titled “Why Do Multi-Agent LLM Systems Fail?” which delves into the reasons for the failures of MAS systems, outlining 14 specific failure modes and providing corresponding improvement suggestions. Below is the translation of the paper, Enjoy. Introduction … Read more
Introduction In recent years, artificial intelligence (AI) large language models have made rapid advancements, and the impact of AI on human society has expanded to an unprecedented extent. This article discusses some immature insights into the AI revolution brought by large language models from two physics-related perspectives—information and time scales. It first reviews the basic … 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
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
Reprinted from AI Technology ReviewInsights into the replication of Manus from cutting-edge research on agents. The emergence of Manus has pushed agents to the forefront of the current AI landscape, making this previously somewhat abstract concept tangible. However, there is no shortage of controversy in the industry regarding Manus, with critics arguing that it lacks … Read more