IEEE

Prompt-to-G-Code Generation Using Large Language Models for Additive Manufacturing

Abstract: This research explores the capabilities of large language models (LLMs) in the context of additive manufacturing, with a focus on generating G-code from natural language prompts. Three ...
IEEE

Model-Agnostic Empirical Evaluation of Test-Driven Prompt Engineering on Improving Accuracy and Efficiency in Large Language Models Python Code Generation

Abstract: Although Large Language Models (LLMs) are widely adopted for code generation, the generated code can be semantically incorrect, requiring iterations of evaluation and refinement. Test-driven ...