این سایت در حال حاضر پشتیبانی نمی شود و امکان دارد داده های نشریات بروز نباشند
Journal of Artificial Intelligence and Data Mining، جلد ۱۲، شماره ۴، صفحات ۴۶۵-۴۷۲
عنوان فارسی
چکیده فارسی مقاله
کلیدواژه‌های فارسی مقاله
عنوان انگلیسی Development of a Persian Mobile Sales Chatbot based on LLMs and Transformer
چکیده انگلیسی مقاله Chatbots are computer programs designed to simulate human conversation. Powered by artificial intelligence (AI), these chatbots are increasingly used to provide customer service, particularly by large language models (LLMs). A process known as fine-tuning LLMs is employed to personalize chatbot answers. This process demands substantial high-quality data and computational resources. In this article, to overcome the computational hurdles associated with fine-tuning LLMs, innovative hybrid approach is proposed. This approach aims to enhance the answers generated by LLMs, specifically for Persian chatbots used in mobile customer services. A transformer-based evaluation model was developed to score generated answers and select the most appropriate answers. Additionally, a Persian language dataset tailored to the domain of mobile sales was collected to support the personalization of the Persian chatbot and the training of the evaluation model. This approach is expected to foster increased customer interaction and boost sales within the Persian mobile phone market. Experiments conducted on four different LLMs demonstrated the effectiveness of the proposed approach in generating more relevant and semantically accurate answers for users.
کلیدواژه‌های انگلیسی مقاله Large Language Models (LLMs),Chatbot,Transformer,Persian Mobile Sales Chatbot,Datasets
نویسندگان مقاله Nura Esfandiari |
Electrical and Computer Engineering Department, Semnan University, Semnan, Iran.

Kourosh Kiani |
Electrical and Computer Engineering Department, Semnan University, Semnan, Iran.

Razieh Rastgoo |
Electrical and Computer Engineering Department, Semnan University, Semnan, Iran.

نشانی اینترنتی https://jad.shahroodut.ac.ir/article_3344_9f9842a4403c58f361cca91708b02746.pdf
فایل مقاله فایلی برای مقاله ذخیره نشده است
کد مقاله (doi)
زبان مقاله منتشر شده en
موضوعات مقاله منتشر شده
نوع مقاله منتشر شده
برگشت به: صفحه اول پایگاه   |   نسخه مرتبط   |   نشریه مرتبط   |   فهرست نشریات