I. The relationship and characteristics between ChatGPT and AI Agents:
As a generative AI tool, ChatGPT has laid the foundation for the development of AI Agents. However, AI Agents are not simply built on ChatGPT, but are intelligent systems built on a broader large language model (LLM) technology.
The following is an introduction from the relationship between the two and the core characteristics of AI Agents:
II. The relationship between ChatGPT and AI Agents
1. Technical foundation: The core of ChatGPT is the Generative Pre-trained Transformer (GPT) model, which provides AI Agents with powerful natural language processing capabilities. On this basis, AI Agents combine planning, reasoning and tool calling capabilities to perform more complex tasks.
2. Functional extension: ChatGPT is mainly used as a dialogue model, while AI Agents can be regarded as an extension of ChatGPT's functions, with task-driven, system integration and process automation capabilities.
III. Core characteristics of AI Agents
1. Task-driven: AI Agents can perform specific tasks, such as automated report generation, data analysis, logistics optimization, etc., rather than just dialogue.
2. System integration: AI Agents can access the company's internal systems such as ERP and CRM, read and process real-time data, and achieve seamless collaboration.
3. Process automation: AI Agents can complete the entire process from customer order to delivery, not just handle conversations.
4. Enterprise-specific customization: AI Agents can be deeply customized according to the company's industry characteristics and business needs, becoming a true "smart employee".
5. Continuous learning and optimization: AI Agents can become smarter and more efficient based on the company's historical data and user feedback.