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@article{194028,
        author = {Kajal Kori and Shagun Malhotra and Vivek Kumar},
        title = {To know About Human Behavior using Large Language Model},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {10},
        pages = {2034-2039},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=194028},
        abstract = {This research paper is investigating the application of large language models (LLMs) in understanding human behavior. LLMs, such as GPT, have demonstrated exceptional capabilities in processing and analysing large amounts of textual data, revealing insights into thought patterns, emotions, and communication styles. By leveraging natural language processing techniques, these models can predict behavioral trends, interpret sentiment, and simulate human-like responses. The study delves into how LLMs can analyse human interactions across various domains, including mental health, marketing, and education. Additionally, the paper addresses ethical considerations such as bias, data privacy, and the potential risks of misinterpretation. The findings suggest that while LLMs hold great promise in enhancing our understanding of human behavior, their limitations highlight the need for responsible usage and further refinement. This research contributes to the growing body of knowledge on artificial intelligence and its role in decoding the complexities of human nature.},
        keywords = {Human Behavior, Large Language Models, AI, Natural Language Processing, Predictive Analysis},
        month = {March},
        }