


In the post-AIGC era, AI Agent has become a new hot topic. AI Agent (artificial intelligence agent) is an intelligent entity that can perceive the environment, make decisions and perform actions. Different from traditional artificial intelligence, AI Agent has the ability to think independently and use tools to gradually achieve goals
The difference between AI Agent and large models is that the interaction between large models and humans is based on prompts. Whether the user's prompts are clear will affect the effect of the large model's answer. The work of AI Agent only needs to be given a goal, and it can think independently and take action
In principle, the core driving force of AI Agent is the large model. On this basis, three key components are added: Planning, Memory and Tool Use. So, what signal does the emergence of this kind of intelligence send to the development of the industry? What opportunities and changes will it bring? Is this an opportunity for the next super app? Which domestic companies are likely to run away?
The live broadcast time needs to be rewritten
The content that needs to be rewritten is: November 6, 20:00-21:00
Live broadcast theme
In the AIGC era, AI Agent’s business model and innovation opportunities
The word that needs to be re-expressed is: "guest"
Special Host: InfoQ Community Editor Senior Algorithm Manager武少杰
Dialogue guest: Jia HaowenDirector of Computing Technology of Huayuan and Head of Digital Human Business Department
Graduated from Northwestern Polytechnical University, has more than ten years of working experience in the Internet industry, and is good at architecture design and project management of large-scale, distributed and cloud-native systems
This serial entrepreneur once served as an architect for Alibaba and participated in the R&D and project management processes of many eye-catching Internet products such as Online Banking, Zhima Credit, Huabei, Jiebei and Cainiao Flexible Automation
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