1. Concept Definition
Agents refer to AI systems with perception, reasoning, decision-making, and action capabilities. It can receive external input, understand environmental states, autonomously plan task paths, and take action to accomplish objectives.
2. Core competencies
- perception and understanding: be able to identify user input, environmental information, and extract key intentions.
- Reasoning and planning: Have the ability to disassemble tasks, logical reasoning, path planning, etc.
- Execution and interaction: You can call tools, operation interfaces, and interact with other systems to complete tasks.
- Learning and Memory: Continuously optimize behavioral strategies and response content through historical dialogue and feedback.
3. Typical application scenarios
- Perform daily operational tasks as "virtual employees", such as searching for information, filling out forms, and writing documents
- , and work as architects, code generation assistants, or testers in the developer environment
- to build end-to-end business process automation solutions in e-commerce, finance, education, and other industries
4. The value of agents
Agents can not only improve the efficiency of task execution, but also continuously optimize complex processes, gradually realizing the evolution from "tool-based AI" to "autonomous AI", becoming the mainstream way of using AI in the future.
