Publication
AI Conversational Agent to solve multilingual administrative questions
| Summary: | This dissertation presents an AI solution designed to address the challenges faced by temporary employment agencies managing a diverse, multilingual workforce. The study focuses on leveraging an LLM model to enable accurate answers to frequently asked questions in multiple languages. The project objectives include developing and implementing the LLM-Based Con- versational Agent, improving the prompts, and evaluating its performance in providing correct answers to three queries. The results should demonstrate a 95% correctness rate, showcasing the efficacy of streamlining administrative processes. This project contributes to the field of LLM-Based Conversational Agents by offering a practical solution to the language barriers in temporary employment agencies, empha- sizing the potential for improved efficiency and reduced back-office support overhead. The findings underscore the significance of AI-driven solutions in addressing complex administrative challenges in multilingual environments. |
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| Main Authors: | Alegria, Rodrigo Daniel Sapateiro |
| Subject: | Artificial Intelligence Administrative Questions Multilingual Chat bot Large Language Model |
| Year: | 2024 |
| Country: | Portugal |
| Document type: | master thesis |
| Access type: | open access |
| Associated institution: | Universidade Nova de Lisboa |
| Language: | English |
| Origin: | Repositório Institucional da UNL |
| Summary: | This dissertation presents an AI solution designed to address the challenges faced by temporary employment agencies managing a diverse, multilingual workforce. The study focuses on leveraging an LLM model to enable accurate answers to frequently asked questions in multiple languages. The project objectives include developing and implementing the LLM-Based Con- versational Agent, improving the prompts, and evaluating its performance in providing correct answers to three queries. The results should demonstrate a 95% correctness rate, showcasing the efficacy of streamlining administrative processes. This project contributes to the field of LLM-Based Conversational Agents by offering a practical solution to the language barriers in temporary employment agencies, empha- sizing the potential for improved efficiency and reduced back-office support overhead. The findings underscore the significance of AI-driven solutions in addressing complex administrative challenges in multilingual environments. |
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