Building Better AI Agents: A Provocation on the Utilisation of Persona in LLM-based Conversational Agents

التفاصيل البيبلوغرافية
العنوان: Building Better AI Agents: A Provocation on the Utilisation of Persona in LLM-based Conversational Agents
المؤلفون: Sun, Guangzhi, Zhan, Xiao, Such, Jose
سنة النشر: 2024
المجموعة: Computer Science
مصطلحات موضوعية: Computer Science - Human-Computer Interaction, Computer Science - Artificial Intelligence, Computer Science - Computers and Society
الوصف: The incorporation of Large Language Models (LLMs) such as the GPT series into diverse sectors including healthcare, education, and finance marks a significant evolution in the field of artificial intelligence (AI). The increasing demand for personalised applications motivated the design of conversational agents (CAs) to possess distinct personas. This paper commences by examining the rationale and implications of imbuing CAs with unique personas, smoothly transitioning into a broader discussion of the personalisation and anthropomorphism of CAs based on LLMs in the LLM era. We delve into the specific applications where the implementation of a persona is not just beneficial but critical for LLM-based CAs. The paper underscores the necessity of a nuanced approach to persona integration, highlighting the potential challenges and ethical dilemmas that may arise. Attention is directed towards the importance of maintaining persona consistency, establishing robust evaluation mechanisms, and ensuring that the persona attributes are effectively complemented by domain-specific knowledge.
Comment: Accepted by The international ACM Conversational User Interfaces (CUI) conference 2024
نوع الوثيقة: Working Paper
URL الوصول: http://arxiv.org/abs/2407.11977
رقم الانضمام: edsarx.2407.11977
قاعدة البيانات: arXiv