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docs/training_loops.md: Summarize custom and framework-based training loopsdocs/distributed_training.md: Document distributed training strategiesdocs/hyperparameter_search.md: Summarize search methods and tuning best practicesdocs/evaluation.md: Document evaluation strategies and metricsdocs/experiment_tracking.md: Summarize MLFlow/W&B usage for versioning and tracking experimentsdocs/model_compression.md: Summarize quantization, distillation, and other compression techniques
Acceptance Criteria
- Training loop strategies are clearly documented
- Distributed training techniques and considerations are summarized
- Hyperparameter search methods and pros/cons are documented
- Evaluation strategies and metrics are defined
- Experiment tracking and versioning practices are outlined
- Model compression approaches are documented and explained
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