Researchers from CMU and Microsoft Introduce TinyGSM: A Synthetic Dataset Containing GSM8K-Style Math Word Problems Paired with Python Solutions

In natural language processing, the spotlight is shifting toward the untapped potential of small language models (SLMs). While their larger counterparts have dominated the landscape, the question lingers: just how critical is model size for effective problem-solving? The study explores this pivotal question, delving into SLMs’ advantages and introducing TinyGSM. Researchers from Carnegie Mellon University […]

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