Beyond the Prompt: Building ‘Self-Correcting’ AI Systems with Agentic Loops
中文摘要
构建具备自我修正能力的代理循环以提升AI解决问题水平
English Summary
LLMs are evolving from passive inference to agentic loops, creating self-correcting AI systems through iterative, active problem-solving.
Original Excerpt
The shift from passive inference to active, iterative problem-solving is the next major frontier in Large Language Model application… Continue reading on Medium »