SCALING MAJOR LANGUAGE MODELS FOR REAL-WORLD IMPACT

Deploying large language models (LLMs) effectively to address real-world challenges requires careful consideration of scaling strategies. While increasing model size and training data can often lead to performance improvements, it's crucial to also adjust model architectures for specific tasks and domains. Furthermore, harnessing the power of distr

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