Principles and Design
1.Working Principle:
The foundational operation of the system follows a basic design for testing and utilization: receive data, forward, process, return results, and respond.
2. Learning Methods:
2.1. Learning from Users:
Receive information and process.
In cases of uncertainty or responses that don’t address the question, the system prompts the user for clarification.
Gather user-provided information, assimilate knowledge, and continuously learn. Conduct iterative testing of refined responses.
2.2. Autonomous Learning:
Receive information and process.
When confronted with unfamiliar or lacking answers, the system autonomously seeks new information.Collect, learn, and integrate acquired knowledge into its database.Subsequently, provide informed responses.
This dual learning methodology enhances the system’s adaptability, showcasing a sophisticated and effective approach to continual improvement and knowledge enhancement.