← AI intuition & LLM systems

Build evidence, not just familiarity

These are experiment briefs. Use a small model, pin the environment, and distinguish measured results from estimates. Each lab specifies a concrete deliverable.

1 · Find a single GPU’s limiting resource

Explain a baseline using memory accounting, a roofline estimate, and a short trace.

2 · Protect chat during document bursts

Tune scheduling and cache reuse while keeping separate latency targets for each traffic class.

3 · Decide whether disaggregation is worth it

Compare at the same GPU budget and find a workload where the complicated design loses.

4 · Survive a bad day

Bound overload and retry amplification; demonstrate cancellation, cleanup, and recovery.

5 · Defend an end-to-end service

Show the contract, design, quality gate, performance evidence, cost model, and runbook.