Paper Details

Name: Er. Priyanka Devi, Er. Shivam Sharma & Mukhtiar Singh
Country: India

Year: 2026
Volume: Volume No: 13, January, Year: 2026 (Special Issue)
Page Number: 695-704
DOI: https://doi.org/10.5281/zenodo.19108880

ABSTRACT—
Artificial intelligence has seen a revolution thanks to large language models, which are employed in many different contexts. Chat Generative Pre-trained Transformer is one of these models. is a particularly effective and extensively used tool. Personalized suggestions, chatbots, language translation, content creation and even medical diagnosis and treatment have all benefited from the successful application of ChatGPT. The reason behind its effectiveness in these applications is its capacity to produce replies that resemble those of a human, comprehend natural language, and adjust to
various settings. Because of its accuracy and versatility, it is a useful tool for NLP, But ChatGPT has drawbacks as well, namely the potential to reinforce negative language patterns and its propensity to generate biased replies. A thorough explanation of ChatGPT’s uses, benefits, and drawbacks is given in this article. Data analysis may be greatly improved by integrating cognitive algorithms and AI, especially with models like ChatGPT. Through preprocessing, insights production, and decision support, these technologies provide a comprehensive method for maximizing data’s potential for a range of uses. Nonetheless, it’s critical to keep privacy, security, and ethical issues in mind at every stage of the data analysis procedure. The study also stresses how crucial ethical issues are to take into account when applying this powerful tool in practical settings. Finally, by shedding light on quick engineering strategies, this study adds to the continuing conversations about artificial intelligence and how it affects the disciplines of vision and natural language processing.

Index Terms—Artificial intelligence, NLP , ChatGPT, Cognitive Algorithms, Generative models.