Electromechanical display devices and artificial intelligence (ai) / machine learning (ml)-enabled chatbots

One or more non-transitory computer-readable media storing one or more computer programs, the one or more computer programs configured to cause at least one processor to:

• receive an inquiry pertaining to a product or service from an application executing on a mobile device,
• call a Large Language Model (LLM) that has been trained to receive inquiries pertaining to the product or service as input and trained to provide responses as output by executing the LLM model or sending the inquiry pertaining to the product or service to the LLM,
• receive a response from the output of the LLM, and
• transmit the response from the LLM to the mobile device, wherein
• the application is a chatbot application or a web browser application, and
• the LLM has been trained to be fine-tuned to the domain or industry of the product or service.

A computer-implemented method, comprising:

• receiving, by one or more computing systems, an inquiry pertaining to a product or service from an application executing on a mobile device;
• calling, by the one or more computing systems, a natural language processing (NLP) artificial intelligence (AI)/machine learning (ML) model that has been trained to receive inquiries pertaining to the product or service as input and trained to provide responses as output by executing the NLP AI/ML model or sending the inquiry pertaining to the product or service to the NLP AI/ML model;
• receiving a response from the output of the NLP AI/ML model, by the one or more computing systems, and
• transmitting the response from the NLP AI/ML model, by the one or more computing systems, to the mobile device, wherein
• the application is a chatbot application or a web browser application, and
• the received inquiry is associated with an electromechanical display device.