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Underlying data distributions of natural language, programming code, and mathematical symbols vary vastly, presenting a complex challenge for large language models (LLMs) that strive to achieve high performance across all three domains simultaneously.
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On the opportunities and risks of foundation models
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Cross-token modeling with conditional computation
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Gpt can solve mathematical problems without a calculator
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Mammoth: Building math generalist models through hybrid instruction tuning
Yue, X., Qu, X., Zhang, G., Fu, Y., Huang, W., Sun, H., Su, Y., and Chen, W · 2023
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Agieval: A human-centric benchmark for evaluating foundation models
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