Knowledge Accuracy and Response Characteristics of an On-Device Large Language Model in Building Environmental Engineering: a Preliminary Case Study of EXAONE 4.0 1.2B Using ChatGPT-4o as a Cloud Reference
This preliminary case study examines EXAONE 4.0 1.2B, an on-device large language model (LLM), in building environmental engineering, using ChatGPT-4o as a high-capability cloud reference rather than a size-matched competitor. Ten Korean-language items were evaluated: four multiple-choice, three single-step calculation...