<ul><li>Small language models (SLMs) are becoming more accurate and appealing as training techniques improve.</li><li>SLMs offer capabilities similar to large language models (LLMs) but require less training data and processing power.</li><li>They are easier to adopt, less expensive to run, and have a smaller carbon footprint.</li><li>SLMs are suitable for simpler tasks, can work offline, and are a good alternative for processing information close to the source of collection.</li></ul>

Generative AI Watch: Small Language Models’ Growing Role in a Multi-Model World

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