Small Language Models
Small language models stand out for their lower computational requirements, making them more accessible for users with limited hardware. Unlike large models, which rely heavily on cloud computing and consume significant resources, small models can operate locally, providing faster training and inference. This efficiency not only enhances performance but also minimizes environmental impact, making them a compelling choice for various applications.In this clip
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Everyday AI Podcast – An AI and ChatGPT Podcast
EP 208: Small Language Models - What they are and do we need them?
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