I kept a running list of every LLM term that actually matters for production, cleaned it up and open sourced it

Been building with LLMs for a while and kept hitting terms where the standard definition was useless for making engineering decisions.

So I kept a personal doc, eventually it hit 30+ terms across inference, retrieval, agents, training, and prompting. Each entry has the plain-English definition plus the production implication, the thing that actually affects your architecture or debugging.

Cleaned it up, built a small interactive UI with search and category filtering, and put it on GitHub.

Not trying to compete with papers or courses, it's more of a field reference for when you're mid-build and need the practical version of a term fast.

Would genuinely appreciate corrections or additions.

The bar I set for new terms: does the definition help someone make a better engineering decision?