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fix: companion gist link pointed at the wrong gist

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Co-Authored-By: Claudypoo <288921227+claudypoo@users.noreply.github.com>
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wassname
2026-06-11 16:41:50 +08:00
parent 8cd3c61050
commit 0837f27f08
2 changed files with 2 additions and 2 deletions
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PLAYBOOK.md
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@@ -223,4 +223,4 @@ Folklore sources (the quotes above trace to these):
For modern transformer pretraining specifically (the sources above predate it), see [Karpathy's recipe](https://karpathy.github.io/2019/04/25/recipe/) and the [nanochat deepwiki](https://deepwiki.com/karpathy/nanochat) (320+ empirical HP sweeps for a GPT-2-scale run). Most multi-source claims trace to quotes in [docs/ml_debug_folklore.argdown](docs/ml_debug_folklore.argdown) (vargdown); the full evidence set is in [docs/evidence/](docs/evidence/). For modern transformer pretraining specifically (the sources above predate it), see [Karpathy's recipe](https://karpathy.github.io/2019/04/25/recipe/) and the [nanochat deepwiki](https://deepwiki.com/karpathy/nanochat) (320+ empirical HP sweeps for a GPT-2-scale run). Most multi-source claims trace to quotes in [docs/ml_debug_folklore.argdown](docs/ml_debug_folklore.argdown) (vargdown); the full evidence set is in [docs/evidence/](docs/evidence/).
Curated by [wassname](https://github.com/wassname). Companion gist: https://gist.github.com/wassname/e45e41f75c0b50e72ec1f4cff811a277 Curated by [wassname](https://github.com/wassname). Companion gist: https://gist.github.com/wassname/d72da69ffe1bdb60cdb1708bd3b5c535
SKILL.md
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@@ -324,4 +324,4 @@ Folklore sources (the quotes above trace to these):
For modern transformer pretraining specifically (most sources above predate it), see [Karpathy's recipe](https://karpathy.github.io/2019/04/25/recipe/) and the [nanochat deepwiki](https://deepwiki.com/karpathy/nanochat) (320+ empirical HP sweeps for a GPT-2-scale run). For LLM-as-judge eval debugging workflow more broadly, Hamel Husain's ["Your AI Product Needs Evals"](https://hamel.dev/blog/posts/evals/) covers the error-analysis-first approach for LLM products. Most multi-source claims trace to quotes in [docs/ml_debug_folklore.argdown](docs/ml_debug_folklore.argdown) (vargdown); the full evidence set is in [docs/evidence/](docs/evidence/). For modern transformer pretraining specifically (most sources above predate it), see [Karpathy's recipe](https://karpathy.github.io/2019/04/25/recipe/) and the [nanochat deepwiki](https://deepwiki.com/karpathy/nanochat) (320+ empirical HP sweeps for a GPT-2-scale run). For LLM-as-judge eval debugging workflow more broadly, Hamel Husain's ["Your AI Product Needs Evals"](https://hamel.dev/blog/posts/evals/) covers the error-analysis-first approach for LLM products. Most multi-source claims trace to quotes in [docs/ml_debug_folklore.argdown](docs/ml_debug_folklore.argdown) (vargdown); the full evidence set is in [docs/evidence/](docs/evidence/).
Curated by [wassname](https://github.com/wassname). Companion gist: https://gist.github.com/wassname/e45e41f75c0b50e72ec1f4cff811a277 Curated by [wassname](https://github.com/wassname). Companion gist: https://gist.github.com/wassname/d72da69ffe1bdb60cdb1708bd3b5c535