The open content layer for zeroshotmind.com — a technical blog focused on ML systems, inference, training internals, interpretability, and the math behind modern AI.
Posts in this repo are published directly to zeroshotmind.com. Anyone can contribute: open a pull request, and if it fits the site's depth and quality bar, it goes live.
zeroshotmind.com covers topics like:
- LLM inference systems (batching, KV cache, memory/compute trade-offs)
- Training internals (optimizers, normalization, attention variants)
- Mechanistic interpretability
- Reinforcement learning for language models
- Diffusion models and generative systems
- GPU kernels and systems-level ML
- Mathematical foundations of deep learning
Posts should be technical and substantive. Cheatsheets, deep dives, visual explainers, and interactive posts are all welcome.
- Fork this repo
- Add your post to
posts/YYYY/(see CONTRIBUTING.md for the full spec) - Open a pull request
See CONTRIBUTING.md for frontmatter requirements, component rules, and style guidance.
posts/
2024/ # flat .mdx files (no custom components)
2025/
slug.mdx # flat post
slug-with-component/ # post + its React component
index.mdx
MyComponent.tsx
2026/
POST_TEMPLATE.mdx # starter template
CONTRIBUTING.md