Production ML — Training Stack

From minimal training loops to gradient accumulation, EMAs, distributed primitives, and checkpoints. Train models at scale.

1. 1. ○ Mini-Batch Training
2. 2. ○ Training Loop
3. 3. ○ Gradient Accumulation
4. 4. ○ Gradient Clipping
5. 5. ○ Eval Loop with Metrics
6. 6. ○ Exponential Moving Average
7. 7. ○ Model Checkpointing
8. 8. ○ Data Collator with Padding
9. 9. ○ Ring All-Reduce
10. 10. ○ Distributed Training Step End-to-End