English(EN) How Are LLMs Trained?

LLM 分阶段训练：预训练、微调和强化学习

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-24 01:33

大型语言模型通过不同的阶段进行训练，以从简单的文本预测器演变为有用的 AI 助手。初始的预训练阶段涉及模型从海量文本中学习预测下一个词。后续阶段，如监督微调和各种形式的强化学习（RLHF、RLAIF、基于规则的评分），则能优化模型遵循指令、提供有用回复以及执行编码或数学等特定任务的能力。 AI

影响了解 LLM 的训练方法对于旨在构建更强大、更对齐的 AI 系统的开发者和研究人员至关重要。

排序理由该条目解释了 LLM 的训练过程，详细介绍了不同的方法和阶段。[lever_c_demoted from research: ic=1 ai=1.0]

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

本文如何被排名

Signal score: 49 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Tool; 该条目解释了 LLM 的训练过程，详细介绍了不同的方法和阶段。[lever_c_demoted from research: ic=1 ai=1.0]
Source corroboration: Single-source cluster; Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics: model release; Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance: High; Clearly on-topic for AI-industry coverage.
Story freshness: Breaking (< 6h); Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

完整方法见我们的编辑标准。

dev.to — LLM tag TIER_1 English(EN) · kanfu-panda · 2026-10-24 01:33

大型语言模型是如何训练的？

<blockquote> <p>The last post showed that an LLM is a program that keeps adding the next word. What turns it into an assistant that helps you write code is training in stages: first it reads huge amounts of text and learns to continue it, then it studies examples written by peopl…