Language models are not accurate in numerical problems. Their architecture does not allow for anything less than a probabilistic next word. This paper introduces ComputeGPT: an approach of creating a chat model able to answer computational problems through running on-demand code. ComputeGPT converts each question to relevant code, runs the code, and returns the computed answer as part of the chat. We combine this approach with a local browser-based Python interpretation and fine-tuned prompts in order to achieve state-of-the-art efficiency on numerical problems and provide a suitable front-end and safe environment for the code to be executed in.
ComputeGPT: A computational chat model for numerical problems
ComputeGPT is a chat model that solves numerical problems by translating questions into code, executing the code, and returning the computed result in a secure front-end environment.
- Year
- 2023
- Venue
- arXiv 2023
- Authors
- 2
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- Abstract onlyARXIV-DEFAULT
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- Abstract & full text
- arxiv.org/abs/2305.06223ARXIV-DEFAULT
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