A Multi-Stage Post-Training Framework for Domain-Specific Language Models in Fault Diagnosis
The rapid advancement of large language models (LLMs) has created new opportunities for intelligent fault diagnosis, particularly in complex industrial systems, such as heating, ventilation, and air conditioning (HVAC) in urban rail transit. Although LLMs have shown strong general reasoning capabilities, adapting them...