ComputeGPT: A computational chat model for numerical problems

Language models have made significant strides in recent years, becoming proficient at understanding and generating human-like text [26, 2]. However, despite their advances, traditional language models remain inaccurate in solving numerical problems, as their architecture relies on predicting the next word based on probability rather than executing calculations [3]. This paper introduces ComputeGPT, an innovative chat model capable of addressing computational problems by running on-demand code. ComputeGPT parses each question into relevant code, executes the code, and returns the computed answer as part of the chat. We combine this approach with a local browserbased Python interpreter, Pyiodide, and fine-tuned prompts to achieve state-of-the-art efficiency in solving numerical problems while providing a suitable and safe environment for code execution.