Serverless Fine-Tuning: customize open models, no GPU ops

What this post added

This post introduces Crusoe's Serverless Fine-Tuning service, a new capability for customizing open-source AI models. It details the technical aspects of the service, including data ingestion and pre-processing, the use of LoRA for efficient fine-tuning, automated training and recovery mechanisms, and integrated evaluation strategies like early stopping and LLM-as-judge. It also highlights the seamless integration with Crusoe's Self-Serve Deployments for production inference, emphasizing the end-to-end model lifecycle management within the Crusoe Intelligence Foundry.