This AI Paper from Apple Unpacks the Trade-Offs in Language Model Training: Finding the Sweet Spot Between Pretraining, Specialization, and Inference Budgets

There’s been a significant shift towards creating powerful and pragmatically deployable models in varied contexts. This narrative centers on the intricate balance between developing expansive language models imbued with the capacity for deep understanding and generation of human language and the practical considerations of deploying these models efficiently, especially in environments constrained by computational resources. […]

The post This AI Paper from Apple Unpacks the Trade-Offs in Language Model Training: Finding the Sweet Spot Between Pretraining, Specialization, and Inference Budgets …

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