Explain, compare, or choose machine-learning objectives and learning regimes, including masked prediction, self-supervision, generative modeling, reinforcement learning, transfer, and classical methods. Use for ML learning-method questions and training-design tradeoffs; not routine model API usage or infrastructure debugging.
