CVlization

Verify a CVlization inference example is properly structured, builds successfully, and runs inference correctly. Use when validating inference example implementations or debugging inference issues.

Verify a CVlization training pipeline example is properly structured, can build, trains successfully, and logs appropriate metrics. Use when validating example implementations or debugging training issues.

Run a Recursive Language Model-style loop for long-context tasks. Uses a persistent local Python REPL and an rlm-subcall subagent as the sub-LLM (llm_query).

Run CVlization examples on the `ssh l1` GPU host by copying only the needed example directory plus the shared `cvlization/` package into `/tmp`, then launching the example’s Docker scripts.