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September 19, 2025Advances in Production Engineering & Management

Large language models for G-code generation in CNC machining: A comparison of ChatGPT-3.5 and ChatGPT-4o

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Authors

KŠKristijan ŠketUniversity of MariborDPDavid PotočnikUniversity of MariborMBM. BrezočnikUniversity of Maribor

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Overview

This research compares the effectiveness of ChatGPT-3.5 and ChatGPT-4o in generating G-code for CNC machining, suggesting potential workflow improvements.

Key Points

  • The study found that both ChatGPT models have varying abilities in generating G-code for CNC machining tasks, indicating potential for industrial applications.
  • Promising outcomes suggest using language models can reduce reliance on specialized CAM software and optimize manufacturing processes.
  • The assessment involved testing three phases, including generating G-code, evaluating it in CAM applications, and identifying any errors.
  • Research highlights that large language models might enhance machining efficiency by simplifying the G-code production process.

Cite This Study

Šket et al. (2025) studied this question.

synapsesocial.com/papers/68d464e031b076d99fa63e61https://doi.org/10.14743/apem2025.2.537
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