Abstract
This article explores the distinctions between ChatGPT and chatbots, two prominent technologies in the field of conversational AI. ChatGPT, powered by OpenAI's GPT-3.5 architecture, represents a state-of-the-art natural language processing model that learns from vast text data, enabling it to generate contextually relevant responses. In contrast, chatbots operate within predefined rules and offer structured interactions. The article discusses the strengths and weaknesses of each approach and their respective applications. While ChatGPT excels in natural language understanding and adaptability, chatbots are well-suited for rule-based tasks. The future of conversational AI may involve hybrid systems that combine these strengths. Ethical considerations surrounding bias and privacy in AI conversations are also addressed. Ultimately, the choice between ChatGPT and chatbots depends on specific needs and goals, but both technologies play a pivotal role in shaping the future of human-computer interactions
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