This AI Paper from China Introduces MiniCPM: Introducing Innovative Small Language Models Through Scalable Training Approaches

Developing Large Language Models (LLMs) with trillions of parameters is costly and resource-intensive, prompting interest in exploring Small Language Models (SLMs) as a more efficient option. Despite their potential, LLMs pose challenges due to their immense training costs and operational inefficiencies. Understanding their training mechanisms is elusive, making experiments prohibitively expensive. Also, deploying such large […]

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