Meet GigaGPT: Cerebras’ Implementation of Andrei Karpathy’s nanoGPT that Trains GPT-3 Sized AI Models in Just 565 Lines of Code

Training large transformer models poses significant challenges, especially when aiming for models with billions or even trillions of parameters. The primary hurdle lies in the struggle to efficiently distribute the workload across multiple GPUs while mitigating memory limitations. The current landscape relies on complex Large Language Model (LLM) scaling frameworks, such as Megatron, DeepSpeed, NeoX, […]

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