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Source: <a href="https:&#x2F;&#x2F;github.com&#x2F;manogyasingh&#x2F;transformer-visualisation" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;manogyasingh&#x2F;transformer-visualisation</a> Made this with Opus 5.5 to understand the exact working of an LLM.<p>It&#x27;s a step by step walkthrough of a toy GPT-2 like model. Every matrix fits on screen, every number is computed live in the browser, and hovering over any cell shows the exact math of that step. It covers inference -- following the generation of one token from tokensiation to sampling, one training step of pretraining, and one PPO iteration of RLHF for post-training.<p>Inspired in part by Brendan Bycroft&#x27;s LLM visualization (<a href="https:&#x2F;&#x2F;bbycroft.net&#x2F;llm" rel="nofollow">https:&#x2F;&#x2F;bbycroft.net&#x2F;llm</a>)

  • 情报分类：技术学习与提效
  • 分类依据：内容涉及技术、AI、软件工具或工程实践
  • 信息来源：Hacker News 新项目
  • 发布时间：2026/10/7 19:44:37