Evaluation of Generative AI Models in Python Code Generation: A Comparative Study

Evaluation of Generative AI Models in Python Code Generation: A Comparative Study

This study evaluates leading generative AI models for Python code generation. Evaluation criteria include syntax accuracy, response time, completeness, reliability, and cost. The models tested comprise OpenAI’s GPT series (GPT-4 Turbo, GPT-4o, GPT-4o Mini, GPT-3.5 Turbo), Google&#x201...

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Bibliographic Details
Main Authors: Dominik Palla, Antonin Slaby
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Automatization
generative AI
LLM
python
software development
Online Access:https://ieeexplore.ieee.org/document/10963975/
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https://ieeexplore.ieee.org/document/10963975/

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