AI Agents: The Core Engine Reshaping the Intelligent Future
1. Technological Breakthroughs and Architectural Evolution of AI Agents1. Technological Leap: An Efficiency Revolution from “Teaching Mode” to “Practical Training”The “learning method” of AI Agents has undergone a critical upgrade: early supervised fine-tuning (SFT) was like a teacher guiding students through problems, relying on manually labeled data for learning.Now, reinforcement feedback tuning (RFT) resembles athletes … Read more