Topic

From Tools to Autonomy, Building a More Powerful Agent System

Synopsis: This talk will provide an in-depth analysis of the three stages of development of AI technologies: from assistive tools to automated monolithic Agents to multi-agent systems that can adapt collaboratively across multiple environments and tasks. Focusing on the details of technology construction, we will explore how to build complex AI systems using components such as underlying macromodels, auxiliary tools, and memories, and analyze practical engineering implementations of these technologies. Outline: I. Introduction - Introduction of personal background and presentation topic II.Evolution - Phase I: Auxiliary Tools - Explore the application scenarios where AI is initially used as an automation tool, including the technical details of data analysis, processing, and automation of simple tasks - Stage 2: Single Agent - Analyze the key constituent modules of monolithic AI Agent, including tool integration, memory mechanism, etc. - Existing technological advances and examples: ChatGPT, etc. - Phase III: Multi-Agent System - Discuss the key technical components of multi-agent systems, including planning, collaboration mechanisms, etc. - Existing technological advances and examples: CAMEL, owl, etc. III.Impact - Case 1: From data visualization, BI reports to Chatbot Q&A system (information support tool) - Case 2: From Manual Writing of Marketing Copy to Automatic Generation by Agents (Autonomous Content Generation Agents) - Case 3: Writing programs to interact with web pages using a multi-intelligence system (Multi-Agent Collaboration) IV. Conclusion - Vision: Expectations for a future social form where humans and AI Agents coexist