Prompt Engineering for Fault-Tolerant Cluster Reliability Models

This article explores the use of prompt engineering to build and calculate reliability models for fault-tolerant clusters using Large Language Models (LLMs). The author examines how AI chatbots, such as ChatGPT, can serve as accessible tools for formalizing tasks and calculating steady-state availability (Kg) based on Continuous-Time Markov Chains (CTMC). The material highlights that traditional specialized Reliability, Availability, and Serviceability (RAS) software often presents a high barrier to entry and visualization limitations. Leveraging LLMs simplifies the model design process, making calculations more accessible to engineers. The author notes that these approaches are applicable to complex redundant structures that follow the principles of memoryless stochastic processes with exponential failure time distributions. The article serves as a practical guide on iterating text instructions to achieve accurate and reproducible results in engineering calculations.