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Training & algorithms

Training & algorithms#

Understand policy objectives, precision, parallelism, and memory.

  • From policy gradients to train–rollout consistency
  • GPUs, memory, and parallelism
  • Low Precision Training and Rollout
  • Reproducibility
  • On-Policy Distillation
  • Megatron Config: Role-Based Training Overrides
  • Supporting Model Architectures Beyond Megatron-LM

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From policy gradients to train–rollout consistency

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Last updated on Oct 15, 2026.