concept:provenance
Provenance
Provenance in the context of production machine-learning systems.
Lessons
Formal explanations, examples, simulations, and checkpoints.
Foundation-model lifecycle
Corpus provenance, mixtures, and decontamination
Use corpus provenance, mixtures, and decontamination to move the foundation models production brief toward a defensible release.
Foundation-model lifecyclePretraining objectives, scaling, and checkpoints
Use pretraining objectives, scaling, and checkpoints to move the foundation models production brief toward a defensible release.
Foundation-model lifecycleSFT, preference optimization, safety, and tools
Use sft, preference optimization, safety, and tools to move the foundation models production brief toward a defensible release.
Courses & assignments
Dependency-authoritative learning units.
Casebook
Reported facts and course reconstructions.