Deploy an autocomplete model
one move: train for a product contract
Open the code pane immediately, then use the Spec tab, optional design question, tests, and artifact when you want them.
Finish each move before carrying the artifact forward.
A useful model is a data, architecture, evaluation, and deployment pipeline—not only a checkpoint.
Deliverable: Write the mechanism in one sentence.Tokenize code, pack contexts, train a decoder, quantize it, and expose completion requests.
Deliverable: Type the smallest runnable implementation.Held-out completion tests, latency, and safe truncation must all pass.
Deliverable: Record the expected output and one edge case.Change context length, sampling policy, and quantization; inspect quality/latency tradeoffs.
Deliverable: Change one variable and explain the result.A completion model card, benchmark, and editor-facing API.
Deliverable: Save the code, output, and a short failure note.Held-out completion tests, latency, and safe truncation must all pass.
Change context length, sampling policy, and quantization; inspect quality/latency tradeoffs.
A completion model card, benchmark, and editor-facing API.
Mapped from the supplied Build Everything PDF, source page 60. The five moves are Deriva’s implementation contract for this project.