A manufacturing business had to make sure that its employees followed strict safety procedures in addition to handling various types of machinery. The company maintained a number of manuals and databases with details on pre-repair procedures, safety procedures, and equipment troubleshooting techniques. Before beginning equipment maintenance, employees had to find their way around these resources. Regrettably, this procedure was inefficient and time-consuming. The company, confronted with these obstacles, asked Digital Engine to collaborate with it to design a solution that would simplify this intricate procedure, improve operational effectiveness, and guarantee that workers strictly comply to safety regulations throughout all of its manufacturing facilities.

To address this, Digital Engine created a unique LLM-based application that allowed the company to easily combine its dynamic safety standards with its static machinery data. A hybrid strategy was used, which smoothly integrated embedding techniques for dynamic safety regulations with LLM fine-tuning intended for static equipment data. The end product was an intelligent application with a vast knowledge base that provided exact and accurate answers to the questions that the employees of the organization asked. The manufacturing company's employees received context-aligned instruction from the application using prompt engineering procedures, which further tailored it and ultimately improved productivity and safety in the workplace.