Small custom GPT-2 models (30-124M parameters) can match larger LLMs on three sensor-classification tasks and run faster on edge computers.
Beelink EQ13 N100, 2024
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TinyLLM: A Framework for Training and Deploying Language Models at the Edge Computers
Small custom GPT-2 models (30-124M parameters) can match larger LLMs on three sensor-classification tasks and run faster on edge computers.