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Add knlp (Kernel Natural Language Processing) workflow applying Linux
kernel development methodologies to machine learning research for rapid
iteration and reproducible experimentation.
Workflow integrates with DataCrunch GPU instances for ML research with
automated setup of PyTorch environments, Claude Code, and the knlp
repository. Configuration via Kconfig (git URL and ref selectable).
Add devconfig tasks for repository cloning and Python requirements
installation. Fixed ansible_user variable to use ansible_user_id for
compatibility with root SSH connections on cloud providers.
Add node and host generation templates for dedicated KNLP workflow
supporting both single-node and baseline+dev A/B testing configurations.
Generated-by: Claude AI
Signed-off-by: Luis Chamberlain <[email protected]>
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