Method for generalized and alignment model for repair recommendation

A non-transitory computer readable medium, storing instructions for executing a process, the instructions comprising:

• training a first generative artificial intelligence (AI) model for a general domain, the first generative AI model trained using standard information components of the general domain;
• training a second AI model for a specific domain from the first generative AI model, the training of the second AI model being based on the use of the standard information components, non-standard information components of the specific domain and available label data of the specific domain;
• and
• fine-tuning the second AI model to align with preferences of the specific domain to maximize reward and minimize error.

An apparatus, comprising:

• a processor, configured to:
• train a first generative artificial intelligence (AI) model for a general domain, the first generative AI model trained using standard information components of the general domain:
• train a second A model for a specific domain from the first generative AI model, the training of the second AI model being based on the use of the standard information components, non-standard information components of the specific domain and available label data of the specific domain;
• and
• fine-tune the second AI model to align with preferences of the specific domain to maximize reward and minimize error.