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Nathan Lambert@natolambert
48AI 编辑部评分，满分 100
2026-07-31 05:21· 6小时前
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AI 摘要

Nathan Lambert 发布《语言模型与工具使用》讲座第11讲，系统讲解工具调用与智能体RL。内容涵盖LLM为何需要工具、工具调用基础设施、训练方法及OpenThoughts-Agent等前沿挑战。视频包含00:00引言、07:29工具必要性、15:30基础设施、24:17训练方法、36:38总结等章节。

Lecture 11 is a tool-use/function calling/agentic 101！ I almost skipped this one， as this chapter started as the only skill-specific topic in the book， but since writing it tool-use has only become more foundational to modern models.

This is a tour from the basics -- why LLMs need tools -- to some of the cutting edge challenges scaling agentic RL. Of course， there's plenty of history and fundamentals along the way.

Personally， I'm excited to get much more deeply into this area as a researcher again soon. Just a few more lectures left， but I'll likely keep making a few more videos now that I have pipelines that are lightweight and fun.

00：00 Introduction & Motivations 07：29 Part 1： Why Language Models Need Tools （+ related work） 15：30 Part 2： Infra - How Tool Calls Actually Work 24：17 Part 3： Training for Tool Use & OpenThoughts-Agent 36：38 Takeaways

Thanks for watching & sharing questions.

智能体MCP/工具教程/实践
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Nathan Lambert · @natolambert · X·2026-07-31 05:21·6小时前
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AI 摘要

Nathan Lambert 发布《语言模型与工具使用》讲座第11讲，系统讲解工具调用与智能体RL。内容涵盖LLM为何需要工具、工具调用基础设施、训练方法及OpenThoughts-Agent等前沿挑战。视频包含00:00引言、07:29工具必要性、15:30基础设施、24:17训练方法、36:38总结等章节。

Lecture 11 is a tool-use/function calling/agentic 101！ I almost skipped this one， as this chapter started as the only skill-specific topic in the book， but since writing it tool-use has only become more foundational to modern models.

This is a tour from the basics -- why LLMs need tools -- to some of the cutting edge challenges scaling agentic RL. Of course， there's plenty of history and fundamentals along the way.

Personally， I'm excited to get much more deeply into this area as a researcher again soon. Just a few more lectures left， but I'll likely keep making a few more videos now that I have pipelines that are lightweight and fun.

00：00 Introduction & Motivations 07：29 Part 1： Why Language Models Need Tools （+ related work） 15：30 Part 2： Infra - How Tool Calls Actually Work 24：17 Part 3： Training for Tool Use & OpenThoughts-Agent 36：38 Takeaways

Thanks for watching & sharing questions.

智能体MCP/工具教程/实践
在 X 查看原推x.com