📰 2026-04-06 10:00 更新
🔸 Show HN: I built a tiny LLM to demystify how language models work / Show HN ：我建立了一个小型LLM ，以揭开语言模型如何工作的神秘面纱
🔗 Show HN: I built a tiny LLM to demystify how language models work
🔥 22 points
原文:
A ~9M parameter LLM that talks like a small fish. This project exists to show that training your own language model is not magic. No PhD required. No massive GPU cluster. One Colab notebook, 5 minutes, and you have a working LLM that you built from scratch — data generation, tokenizer, model architecture, training loop, and inference. If you can run a notebook, you can train a language model. It won’t produce a billion-parameter model that writes essays. But it will show you exactly how every…
译文:
像小鱼一样说话的~ 9M参数LLM。这个项目的存在表明，训练自己的语言模型并不神奇。无需博士学位。无大规模GPU集群。一本Colab笔记本， 5分钟，您有一个从头开始构建的工作LLM —数据生成，标记器，模型架构，训练循环和推理。如果可以运行笔记本，则可以训练语言模型。它不会产生一个十亿参数的模型， 论文。但它将向您展示每一个…
自动更新 · 正文抓取 · 双语翻译