Comparative Analysis of RAG-Based Open-Source LLMs for Indonesian Banking Customer Service Optimization Using Simulated Data

In the digital era, banks face challenges in delivering fast, accurate, and efficient customer service, especially for frequently asked simple questions. This study evaluates the effectiveness of three open-source Large Language Models (LLMs), namely Gemma2-9B-Sahabat-AI, Qwen2.5-14B-Instruct, and M...

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Principais autores:	Hendra Lijaya, Patricia Ho, Handri Santoso
Formato:	Artigo
Idioma:	Inglês
Publicado em:	LPPM ISB Atma Luhur 2025-07-01
Colecção:	Jurnal Sisfokom
Assuntos:	bank customer service large language model (llm) llm-as-a-judge semantic similarity retrieval-augmented generation (rag)
Acesso em linha:	https://jurnal.atmaluhur.ac.id/index.php/sisfokom/article/view/2383
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