English(EN) I’ve been wondering how these LLMs weigh their decision making when they train on many possible variations of patterns and I wonder whether they all still use a

AI用户质疑LLM在核心书籍模型与网络文本上的训练

作者 PulseAugur 编辑部 · [1 个来源] · 2026-06-01 16:45

一位Mastodon用户正在询问大型语言模型（LLM）的内部决策过程。他们好奇，即使在后续版本中纳入了更多的网络文本，LLM是否仍然依赖于源自高度重视书籍的核心训练模型。该用户推测，如果这个基础模型包含了大部分高价值权重，它可能是导致持续性问题的根源。 AI

影响理解LLM的训练方法对于旨在提高模型性能和解决固有局限性的开发者和研究人员至关重要。

排序理由该条目是用户关于AI训练方法论的提问，而不是主要公告或研究发现。

在 Mastodon — fosstodon.org 阅读 →

LLM
Mastodon

其他

AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

报道来源 [1]

Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] · 2026-06-01 16:45

I’ve been wondering how these LLMs weigh their decision making when they train on many possible variations of patterns and I wonder whether they all still use a

I’ve been wondering how these LLMs weigh their decision making when they train on many possible variations of patterns and I wonder whether they all still use a core training model based on books considered high value that continues to be used in successive versions as they keep …

报道来源 [1]

I’ve been wondering how these LLMs weigh their decision making when they train on many possible variations of patterns and I wonder whether they all still use a

相关实体

相关话题