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.

翻译：当前，由人工智能（AI）驱动的大语言模型（LLMs）已深度融入我们的日常生活。与普通用户一样，程序员也正受益于最新的大语言模型。鉴于AI模型在现代软件开发中的关键作用，本研究对主流的编程助手（包括ChatGPT、Gemini（Bard AI）、AlphaCode和GitHub Copilot）进行了全面评估。评估基于自然语言处理和代码生成准确性等任务，涵盖Java、Python和C++等多种编程语言。根据评估结果，本研究强调了这些模型的优势与不足，并指出需进一步改进以提升当前流行模型的可靠性与准确性。尽管这些AI助手在语言理解和代码生成方面展现出显著进步，但其引发的伦理考量与负责任使用问题也亟待探讨。随着时间推移，开发更精炼的AI技术对于在各领域实现先进解决方案至关重要，尤其需要深入理解这些模型的功能复杂性及其潜在影响。本研究通过对比不同LLMs，为快速演进的AI模型领域提供了重要反馈，并强调需遵循伦理开发实践以充分发挥AI模型的潜力。