Large Language Models (LLMs) are advanced Artificial Intelligence (AI)
systems that have undergone extensive training using large datasets in order to
understand and produce language that closely resembles that of humans. These
models have reached a level of proficiency where they are capable of
successfully completing university exams across several disciplines and
generating functional code to handle novel problems. This research investigates
the coding proficiency of ChatGPT 3.5, a LLM released by OpenAI in November
2022, which has gained significant recognition for its impressive text
generating and code creation capabilities. The skill of the model in creating
code snippets is evaluated across 10 various programming languages and 4
different 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 the
ramifications of automated code generation on the evolution of programming
languages and on the tech industry.

研究 ChatGPT 3.5 模型在编写代码方面的能力，评估其在 10 种编程语言和 4 个软件领域中生成代码片段的熟练程度，并发现了模型的主要意外行为和限制，旨在寻找发展的潜在领域，并检查自动生成代码对编程语言和技术行业发展的影响。