Faezeh Saeedian
Design and Implementation of a Multilingual Conversational Chatbot for the HR Department.
Rel. Paolo Garza. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2024
Abstract
In the current business scenario, the effective management of human resources is a critical aspect. Organizations are implementing new technologies such as artificial intelligence (AI) to transform HR operations, increase efficiency, and engage employees. Of all these AI applications, chatbots are particularly useful in automating processes, offering quick assistance, and personalization. With the help of technologies like NLP and machine learning, HR chatbots are capable of answering a number of questions and tasks, which include answering general queries, arranging interviews, onboarding new employees, and managing employee feedback. This automation enables HR professionals to spend more time on strategic work, thus enhance the performance of the HR department.
The Retrieval-Augmented Generation (RAG) is a creative solution to construct chatbots that leverage the best from both worlds – retrieval-based and generation-based models to obtain accurate and contextually suitable answers
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