Training a large language model isn't just about GPUs crunching numbers - it's about orchestrating an entire distributed system. Before a single gradient is computed, hundreds of processes must discover each other, coordinate data access, synchronize updates, recover from failures, and keep expe...

Source: [HackerNoon](https://hackernoon.com/before-the-first-gradient-the-hidden-machinery-behind-llm-training?source=rss)

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