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Exploring Parallel Strategies with Jax
Source: AstraBlog ·
Training large language models either like GPT, LlaMa or Mixtral requires immense computational resources. With model sizes ballooning into the billions or sometimes even trillions of parameters, specialized parallelization techniques are essential to make training feasible. In this post, we’ll explore implementing some of these scaling strategies in Jax - a Python framework designed for hig...
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