Part 10/16:
RLM introduces a revolutionary approach by transforming system prediction into a text-to-text task. Instead of squashing extensive logs, configurations, and hardware details into static feature vectors, RLM serializes system states into structured text formats like JSON or YAML. The model receives descriptive inputs—such as workload parameters and hardware settings—and outputs predictions, including efficiency metrics or resource utilization.