使用API包装器技术增强ChatGPT

M. T. Younis, N. M. Hussien, Yasmin Makki Mohialden, Komeil Raisian, Prabhishek Singh, Kapil Joshi
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引用次数: 0

摘要

本研究着眼于API(应用程序编程接口)包装技术如何通过将大量API调用放在一起来简化复杂函数的使用。这些包具有难以使用的非实时接口。ChatGPT是一种特定于聊天机器人的GPT-3语言范式。它允许开发人员创建能够智能地响应自然语言用户输入的聊天机器人,从而创造更吸引人的用户体验。本文展示了ChatGPT、Python和API包装器技术可用于开发智能聊天机器人。我们将展示如何使用OpenAI API库将ChatGPT添加到Python程序中。这使得开发人员更容易让聊天机器人在说话时声音和行为更像真人。我们对这一领域的贡献表明,使用ChatGPT和API包装器技术制作智能聊天机器人是可能的。为了实现这一目标,我们使用了一个将OpenAI API与ChatGPT和Python相结合的系统。这为我们提供了关于如何制造智能聊天机器人的宝贵信息。该系统在不同的环境中进行了多次测试,取得了令人满意的效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enhancement of ChatGPT using API Wrappers Techniques
This study looks at how API (Application Programming Interface) wrapper technology can make it easier to use complex functions by putting together a lot of API calls. These packages have non-real-time interfaces that are hard to use. ChatGPT is a chatbot-specific GPT-3 language paradigm. It lets developers create chatbots that respond intelligently to natural language user input, creating a more engaging user experience. This article shows that ChatGPT, Python, and API wrapper technology may be used to develop a smart chatbot. We show how to use the OpenAI API library to add ChatGPT to Python programs. This makes it easier for developers to make chatbots that sound and act more like real people when they talk. Our contribution to this field is showing that it is possible to make smart chatbots with ChatGPT and API wrapper technology. To reach this goal, we use a system that combines the OpenAI API with ChatGPT and Python. This gives us valuable information about how to make smart chatbots. The efficiency of the system has been tested many times while applying it to different environments, and the results are satisfactory.
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