以自我引导扩展自我对弈：语言模型的AlphaZero式路径——Medium文章预告
英文摘要
This Medium article by Chier Hu proposes a framework called Self-Guidance to scale self-play for language models, drawing an analogy to AlphaZero. The accessible snippet mentions a progression from pretraining to long-horizon reinforcement learning. No concrete model, benchmark results, code release, or specific technical details are provided in the visible content; the full article is behind Medium's paywall.
中文摘要
这篇Medium文章提出了一种名为Self-Guidance的框架，旨在为语言模型扩展自我对弈，类比AlphaZero的方法。可见片段仅提及从预训练到长程强化学习的演进。可见内容中未提供具体模型、基准测试结果、代码发布或详细技术细节，完整文章在Medium付费墙后。
关键要点
The article proposes 'Self-Guidance' as a method to scale self-play in language models, inspired by AlphaZero.
文章提出“Self-Guidance”作为扩展语言模型中自我对弈的方法，灵感来自AlphaZero。
The visible content only names a transition from pretraining to long-horizon reinforcement learning as the first topic.
可见内容仅将“从预训练到长程强化学习”列为第一个话题。
No specific models, experiments, quantitative results, or code are described in the publicly accessible portion.
公开可见部分未描述具体模型、实验、量化结果或代码。