DeepSeek团队梁文锋论文登上《自然》封面

Core Viewpoint - The research paper on the DeepSeek-R1 reasoning model, led by Liang Wenfeng, demonstrates that the reasoning capabilities of large language models (LLMs) can be enhanced through pure reinforcement learning, reducing the need for human input in performance improvement [1] Group 1 - The study indicates that LLMs do not need to rely on human examples or complex instructions, as they can autonomously learn to generate reasoning processes through trial-and-error reinforcement learning [1] - The AI exhibits self-reflection, which is considered a significant indication of artificial intelligence exploring cognitive pathways beyond human thinking [1]