AI Builder
"I want to build things with models, not just use them."
How a model learns, how an LLM writes one token at a time, and how to trust an agent with real work.
Badge: Model Maker - not earned yet. 0 of 14 lessons done.
Following adds a "next in your expedition" link to each of its lessons. You can follow one at a time; the choice is kept in this browser.
Run your own model is not on this expedition: it needs the full platform from the Platform Engineer expedition running on your machine. It is in the LLMs trail when you are ready.
- 1Learning is turning knobsMachine Learning14 min
- 2Why hidden layers existMachine Learning · builds on step 116 min
- 3Memorising is not learningMachine Learning · builds on step 215 min
- 4Text becomes tokensLLMs & Inference12 min
- 5One token at a timeLLMs & Inference · builds on step 413 min
- 6Attention, without the maths firstLLMs & Inference · builds on step 515 min
- 7Why vLLM is fastLLMs & Inference · builds on step 618 min
- 8A model, a loop and some toolsBuild AI Agents · builds on step 417 min
- 9Tools: how a model touches the worldBuild AI Agents · builds on step 818 min
- 10Workflows first, agents when you mustBuild AI Agents · builds on step 814 min
- 11Guardrails, approvals and evalsBuild AI Agents · builds on step 918 min
- 12Agents that help run a businessBuild AI Agents · builds on step 816 min
- 13Getting what you asked forSI Frontiers · builds on step 515 min
- 14Superintelligence, honestlySI Frontiers18 min