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Podcast: Arxiv Papers
Episode: Computational Bottlenecks of Training Small-scale Large Language Models
Description:
This study investigates the training behavior and computational requirements of Small-scale Large Language Models (SLMs), focusing on hyperparameters and configurations to enhance efficiency and support low-resource AI research.
https://arxiv.org/abs//2410.19456
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