Run LoRA fine-tuning on Red Hat OpenShift AI with Ray

This blog post provides a comprehensive guide to running LoRA fine-tuning jobs on Red Hat OpenShift AI using the Ray framework. It details the prerequisites, setup, and execution of fine-tuning for SQL generation, highlighting the benefits of using Ray's dynamic scaling and unified runtime for multi-stage AI pipelines. The author also includes instructions for environment preparation and job submission, supported by step-by-step examples and code snippets to enhance understanding.