My use case involves developing a large language model (LLM) specifically fine-tuned on a dataset of mathematical problems. The dataset includes structured problem statements and solutions in JSONL format, which allows the model to learn various mathematical reasoning patterns and solution strategies. It trains the model to perform multi-step reasoning, interpret complex queries, and produce accurate, logically consistent answers. The ultimate goal is to enhance the model’s capability to tackle academic-level math questions and support education, tutoring, or automated problem-solving applications.
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