Go straight to the simple math benchmark ^_^
Welcome to the llm-benchmarks repository! This repository is dedicated to providing benchmarks for large language models (LLMs), with a focus on mathematical capabilities. These benchmarks are designed to assess the performance and accuracy of LLMs in handling various mathematical problems, from simple arithmetic to complex equations.
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Foundation for Complexity: Simple mathematical benchmarks provide a baseline for understanding how well an LLM can handle basic arithmetic operations, which are fundamental to more complex mathematical and scientific tasks.
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Performance Metrics: They offer clear metrics for performance evaluation, such as speed, accuracy, and computational efficiency, which are crucial for optimizing algorithms.
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Debugging and Improvement: Identifying weaknesses in basic operations through these benchmarks can guide further improvements in model architecture and training processes.
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Comparison Across Models: Simple benchmarks allow for straightforward comparisons between different models, helping users select the right model for their specific needs based on empirical data.
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Educational Tool: They serve as an excellent educational tool for new users who are learning about LLMs and their applications in computational mathematics.
We welcome contributions to the llm-benchmarks repository! If you have ideas for new benchmarks or improvements to existing ones, please follow these steps:
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Fork the Repository: Make a copy of this repository under your GitHub account.
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Make Your Changes: Add new benchmarks or enhance existing ones.
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Submit a Pull Request: Once you're happy with your changes, submit a pull request to the main repository for review.
This project is licensed under the MIT License - see the LICENSE file for details.