Tag: reading-notes
Philip Kiely and Ali Taha on what actually happens between an open-weight checkpoint and a production endpoint — the four optimisations that stack to 2–4× on fixed hardware, why quantising more of a model can make it better, and the reliability failures that turn out to be a race condition in a kernel rather than anything about the weights.
Richard Heimann's book reads the reconstructed reading list Ilya Sutskever gave John Carmack as an argument rather than a bibliography. Chapters 1 and 2 give the four-part worldview it claims to encode, and then spend a chapter showing that AlexNet invented almost nothing — which is the part this notebook cares about.
A compilation episode in which seven writers answer the same four questions about practice — how to choose a project, how to begin without inspiration, how to produce pages reliably, and what to do when the pages are bad. The answers agree on more than they disagree, and the disagreements are the useful part.
Running notes on Christoph Molnar's "Tabular Foundation Models" — chapter takeaways, questions, and how tabular FMs fit into this notebook's map of SOTA ML-engineering technology.
Running notes on Manning's "LLM Customization and Fine-Tuning" (MEAP, Bahree & Tok) — chapter takeaways, questions, and links back into the rest of this notebook.