了解人类反馈中的强化学习 (RLHF)，以调整语言模型。在学习偏好数据、奖励建模、策略优化或直接对齐算法（如 DPO）时使用。
SKILL.md
Reinforcement Learning from Human Feedback (RLHF) is a technique for aligning language models with human preferences. Rather than relying solely on next-token prediction, RLHF uses human judgment to guide model behavior toward helpful, harmless, and honest outputs.
Pretraining produces models that predict likely text, not necessarily good text. A model trained on internet data learns to complete text in ways that reflect its training distribution—including toxic, unhelpful, or dishonest patterns. RLHF addresses this gap by optimizing for human preferences rather than likelihood.
The core insight: humans can often recognize good outputs more easily than they can specify what makes an output good. RLHF exploits this by collecting human judgments and using them to shape model behavior.
了解人类反馈中的强化学习 (RLHF)，以调整语言模型。在学习偏好数据、奖励建模、策略优化或直接对齐算法（如 DPO）时使用。 来源：itsmostafa/llm-engineering-skills。
可引用信息
为搜索与 AI 引用准备的稳定字段与命令。
- 安装命令
npx skills add https://github.com/itsmostafa/llm-engineering-skills --skill rlhf- 分类
- </>开发工具
- 认证
- ✓
- 收录时间
- 2026-02-11
- 更新时间
- 2026-02-18
快速解答
什么是 rlhf？
了解人类反馈中的强化学习 (RLHF)，以调整语言模型。在学习偏好数据、奖励建模、策略优化或直接对齐算法（如 DPO）时使用。 来源：itsmostafa/llm-engineering-skills。
如何安装 rlhf？
打开你的终端或命令行工具（如 Terminal、iTerm、Windows Terminal 等） 复制并运行以下命令：npx skills add https://github.com/itsmostafa/llm-engineering-skills --skill rlhf 安装完成后，技能将自动配置到你的 AI 编程环境中，可以在 Claude Code 或 Cursor 中使用
这个 Skill 的源码在哪？
https://github.com/itsmostafa/llm-engineering-skills
详情
- 分类
- </>开发工具
- 来源
- skills.sh
- 收录时间
- 2026-02-11