<ul><li>Language models have gained significant interest due to their general-purpose capabilities.</li><li>However, large language models impose stringent requirements on computing systems.</li><li>To address these challenges, researchers explored the possibility of using smaller models (~30-120M parameters) for specific tasks.</li><li>They developed a framework that allows users to train and deploy these small models on edge devices.</li></ul>

TinyLLM: A Framework for Training and Deploying Language Models at the Edge Computers

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