AIHacker Noonabout 17 hours ago
Before the First Gradient: The Hidden Machinery Behind LLM Training
1 min read
Training a large language model requires orchestrating a distributed system before any gradient is computed. Hundreds of processes must discover each other, coordinate data access, synchronize updates, and recover from failures. PyTorch, Ray, samplers, networking, and checkpointing turn thousands of machines into a single learning system.
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