Don't read about AI. Open it up.
The same hands-on labs our cohort trains on — tokenizers, chunking, prompts — free in your browser, no account, no tracking scripts. This is how we teach: from the inside.
Three labs, zero friction
Each one answers a question people usually hand-wave: what does the model actually see, how does a document become retrievable, and what makes a prompt work.
Three more labs run live models
Sampling, embeddings and retrieval need real model calls, so they live behind a free account — along with the full training program.
Sampling Lab
Temperature, top-p and top-k against a live model — watch the probability distribution reshape as you drag the sliders.
Embedding Lab
Turn words into vectors and see meaning as geometry: scatter plots, similarity heatmaps, and king − man + woman ≈ queen.
RAG Lab
Run keyword vs semantic vs hybrid retrieval side-by-side on a real index, with citations and abstention behavior.
Liked poking at the machine?
This is 1% of the training. The full program — daily reps, incident drills, an AI shadow engineer, a verifiable record — is free for founding cohorts.