Our everyday lives now heavily rely on artificial intelligence (AI) powered large language models (LLMs). Like regular users, programmers are also benefiting from the newest large language models. In response to the critical role that AI models play in modern software development, this study presents a thorough evaluation of leading programming assistants, including ChatGPT, Gemini(Bard AI), AlphaCode, and GitHub Copilot. The evaluation is based on tasks like natural language processing and code generation accuracy in different programming languages like Java, Python and C++. Based on the results, it has emphasized their strengths and weaknesses and the importance of further modifications to increase the reliability and accuracy of the latest popular models. Although these AI assistants illustrate a high level of progress in language understanding and code generation, along with ethical considerations and responsible usage, they provoke a necessity for discussion. With time, developing more refined AI technology is essential for achieving advanced solutions in various fields, especially with the knowledge of the feature intricacies of these models and their implications. This study offers a comparison of different LLMs and provides essential feedback on the rapidly changing area of AI models. It also emphasizes the need for ethical developmental practices to actualize AI models' full potential.

本研究针对现代软件开发中人工智能模型的关键作用，深入评估了包括ChatGPT、Gemini、AlphaCode和GitHub Copilot在内的领先编程助手。研究指出这些模型在自然语言处理和代码生成方面的优势与不足，并强调需要进一步改进以增强其可靠性与准确性，同时呼吁在AI发展的过程中考虑伦理和责任问题。

人工智能编程：对程序员的ChatGPT、Gemini、AlphaCode和GitHub Copilot的评估