learn the ropes of modern AI.
The front door to the whole suite.
ARAIL is the lab. AeroLLM is the engine. Nucleus is the pipeline. PaperAgents is the business. Learn is how you understand all of it — the place to learn the ropes before you build.
Its flagship is the AI Dictionary: every model-building term — from LoRA and quantization to QuKaiZen's own Super Skill and Wisdom per Watt — defined plainly, and each one carries a single concrete worked example. No jargon walls. Every term stands on its own.
Anyone can define GGUF. The dictionary shows you a real one. Each entry flips from term to a concrete example you can picture — the difference between reading about a thing and actually getting it.
This is a live slice of the dictionary — four real entries cycling front (the plain definition) to back (the worked example). The full collection covers fundamentals, architecture, training, fine-tuning, quantization, inference, formats, and QuKaiZen's own concepts.
Tap a dot to jump; tap the card to flip it yourself.
One plain-language sentence per term — no circular jargon, no prerequisites.
One concrete worked example per term, with real names and numbers.
Every term cross-links to related ones — follow the thread as far as you like.
The whole thing is machine-readable at the public /what API.
When did a glossary last give you a worked example? That's the difference between reading and knowing.
One growing, version-controlled source of truth — read by humans on the page and by agents through the API.
Every model-building term, defined plainly and grouped by category — fundamentals, training, fine-tuning, quantization, inference, formats, and more.
Each entry carries one concrete example with real names and numbers — the part that makes a concept actually stick.
Query any term programmatically: /what?term=gguf returns the entry; /what?all=1 returns the whole set.
The terms drifting through every explainer link straight here — /aidictionary#lora lands on the right card.
Super Skill, Wisdom per Watt, the Nucleus Seal — the suite's own ideas defined next to the field's standard terms.
New terms land as the field moves. One file; the page, the API, and the deep-links all move with it.
A term you can picture is a term you keep.
Most glossaries hand you a circular definition and move on. Learn hands you a definition and a worked example — and then gets out of the way. It's the front door precisely because it assumes nothing.
Free, open, and the same source whether you're a human reading the page or an agent calling the API.
per term — concrete, with real names and numbers. The part a glossary usually leaves out.
When did a glossary last show you, not just tell you?
Open the dictionary, pick a term you've always nodded along to, and finally see the example.