Pretraining, Supervised Fine-Tuning, and Preference Optimization
Explain how training targets shape representations, instruction following, and preferred behavior without equating preference with truth.
2 docs tagged with "training"
View all tagsTraining a Model: Gradients, Optimizers, and Learning Rates
Follow one parameter update, then connect minibatches, optimizer state, validation, and reproducible checkpoints.