​​Fine-Tuning Large Language Models with Declarative ML Orchestration

Large Language Models used in tools like ChatGPT are everywhere; however, only a few organisations with massive computing resources are capable of training such large models. While eager to fine-tune these models for specific applications, the broader ML community often grapples with significant infrastructure challenges.