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Large Language Models (LLMs) are advanced Artificial Intelligence (AI)systems that have undergone extensive training using large datasets in order tounderstand and produce language that closely resembles that of humans. Thesemodels have reached a level of proficiency where they are capable ofsuccessfully completing university exams across several disciplines andgenerating functional code to handle novel problems. This research investigatesthe coding proficiency of ChatGPT 3.5, a LLM released by OpenAI in November2022, which has gained significant recognition for its impressive textgenerating and code creation capabilities. The skill of the model in creatingcode snippets is evaluated across 10 various programming languages and 4different software domains. Based on the findings derived from this research,major unexpected behaviors and limitations of the model have been identified.This study aims to identify potential areas for development and examine theramifications of automated code generation on the evolution of programminglanguages and on the tech industry.

A Comparative Study of Code Generation using ChatGPT 3.5 across 10 Programming Languages