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English(EN) My book, Reinforcement Learning from Human Feedback is done!

新书探讨基于人类反馈的强化学习

作者 PulseAugur 编辑部 · [1 个来源] ·

Nathan Lambert 已完成他的著作《基于人类反馈的强化学习》，该书旨在为 ChatGPT 等模型的微调、对齐和后训练提供基础资源。这本书自 2024 年以来利用业余时间编写，融入了构建 Olmo 模型的经验。该书将随附一个全面的 10 小时课程，包括幻灯片、可用代码和一个示例模型完成库，同时还将提供免费的在线版本。实体书预计将在几周内从 Manning 和 Amazon 发货。 AI

影响 为从事大型语言模型和对齐技术工作的从业者提供了一个新的教育资源。

排序理由 该条目描述了一本关于特定人工智能研究主题的书籍的完成情况。[lever_c_demoted from research: ic=1 ai=1.0]

在 X — Nathan Lambert (Interconnects) 阅读 →

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

新书探讨基于人类反馈的强化学习

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该条目描述了一本关于特定人工智能研究主题的书籍的完成情况。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. X — Nathan Lambert (Interconnects) TIER_1 English(EN) · natolambert ·

    我的书《Reinforcement Learning from Human Feedback》完成了！

    My book, Reinforcement Learning from Human Feedback is done! This is the book I wish I had when learning to fine-tune, align, &amp; now post-train models since ChatGPT. The resource has been built by me finding time to study and document the fundamentals on nights and weekends s…

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