open-weights
3 free lessons tagged open-weights across Programming, AI. Each one is a short sequence of focused steps with narration and a five-question quiz at the end — take them in any order, no signup required.
The Case for Self-Hosting, Examined Honestly
Self-hosting is usually justified on privacy grounds, and the argument is often weaker than assumed. This lesson examines what actually stays private, which regulatory requirements genuinely demand it, the reasons that hold up better than privacy, and the honest total cost against an API.
Open Weights vs Closed APIs: The Real Tradeoffs
An honest look at the open-weights vs closed-API choice for LLMs in 2026 — covering data privacy, cost at scale, fine-tuning, latency, regulatory concerns, and the gap in raw capability per dollar.
The LLM Landscape in 2026: Who Makes What
A practitioner's map of the major frontier-model labs as of early 2026 — who they are, what they ship, which models are open vs closed, and how the field has split into general-purpose chat and reasoning families.