Control in Hybrid Chatbots

Autor:	Rüdel, Thomas, Leidner, Jochen L.
Rok vydání:	2023
Předmět:	Computer Science - Information Retrieval Computer Science - Artificial Intelligence Computer Science - Computation and Language Computer Science - Human-Computer Interaction 68T50 68T07 I.2.7 H.3.3
Druh dokumentu:	Working Paper
Popis:	Customer data typically is held in database systems, which can be seen as rule-based knowledge base, whereas businesses increasingly want to benefit from the capabilities of large, pre-trained language models. In this technical report, we describe a case study of how a commercial rule engine and an integrated neural chatbot may be integrated, and what level of control that particular integration mode leads to. We also discuss alternative ways (including past ways realized in other systems) how researchers strive to maintain control and avoid what has recently been called model "hallucination". Comment: 12 pages, 3 figures
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2311.11701 Zobrazit plný text záznamu View this record from Arxiv