Textile GPT

In recent years, the textile industry has been facing a series of challenges, including labor shortages due to the aging population, talent gaps caused by the relocation of traditional industries, and the rise of atypical employment that hinder knowledge and experience transfer. These challenges highlight the pressing need for transformation within the textile industry, with the aim of creating new opportunities and possibilities for its future. 

By leveraging the LLM system provided by Morale AI, we have integrated 28 years of knowledge accumulated by the Taiwan Textile Research Institute into the training process. Through advanced RAG (Retrieval-Augmented Generation) and prompt engineering techniques, we have enhanced the system's response accuracy, combining multiple languages and system integration capabilities. Additionally, we seek to improve the ability to pass on experiences or knowledge and provide advanced information, thereby paving a more competitive path for the future of the textile industry.