article · Journal of Computing Theories and Applications
Generative artificial intelligence tools offer ease of use, rapid response generation, and human-like interaction. A detailed assessment of nine prominent platforms, including ChatGPT, Perplexity AI, YouChat, ChatSonic, Google Bard, Microsoft Bing Assistant, HuggingChat, Jasper AI, and Quora Poe, indicates that their operational advantages generally exceed their drawbacks. These systems exert a transformative effect on natural language processing, particularly through integration with web search engines. However, significant hurdles persist across tool development, encompassing computational expenses, data constraints, privacy risks, and regulatory challenges. Misuse of the technology remains a prominent ethical issue. In addition, achieving defined natural language objectives depends heavily on structured planning strategies, spanning classical, probabilistic, hierarchical, temporal, knowledge-driven, and neural planning frameworks. Together, these aspects define the current landscape of human-computer interaction and generative language systems.
Generative artificial intelligence is rapidly shifting how everyday users search for information and interact with digital systems. Understanding the trade-offs between speed, accuracy, and operational expenses helps users navigate emerging platforms. Furthermore, identifying data privacy risks, regulatory difficulties, and ethical hazards ensures that societies can deploy conversational computing tools more responsibly across varied everyday environments.
The assessment evaluates commercial generative tools used for natural language queries and web search integration. Potential adopters include enterprises seeking automated response platforms, though adoption is constrained by computational overhead, data boundaries, and regulatory uncertainty. Because the work reviews existing, publicly accessible tools rather than developing a proprietary system, it serves as an early-stage comparative guide to help organisations weigh commercial software options and operational trade-offs.
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Generative artificial intelligence tools have recently attracted a great deal of attention. This is because of their huge advantages, which include ease of usage, quick generation of answers to requests, and the human-like intelligence they possess. This paper presents a vivid comparative analysis of the top 9 generative artificial intelligence (AI) tools, namely ChatGPT, Perplexity AI, YouChat, ChatSonic, Google's Bard, Microsoft Bing Assistant, HuggingChat, Jasper AI, and Quora's Poe, paying attention to the Pros and Cons each of the AI tools presents. This comparative analysis shows that the generative AI tools have several Pros that outweigh the Cons. Further, we explore the transformative impact of generative AI in Natural Language Processing (NLP), focusing on its integration with search engines, privacy concerns, and ethical implications. A comparative analysis categorizes generative AI tools based on popularity and evaluates challenges in development, including data limitations and computational costs. The study highlights ethical considerations such as technology misuse and regulatory challenges. Additionally, we delved into AI Planning techniques in NLP, covering classical planning, probabilistic planning, hierarchical planning, temporal planning, knowledge-driven planning, and neural planning models. These planning approaches are vital in achieving specific goals in NLP tasks. In conclusion, we provide a concise overview of the current state of generative AI, including its challenges, ethical considerations, and potential applications, contributing to the academic discourse on human-computer interaction.
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DOI: 10.62411/jcta.9447
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