Get started with Gemma on Ray on Vertex AI

Gemma is a family of open models derived from the Gemini models, designed to handle diverse tasks such as text and code generation, fine-tuning, and execution on various devices. The tutorial explores using Gemma in conjunction with Ray, an open-source framework for scaling AI applications, on Google's Vertex AI platform. It provides a comprehensive guide to deploying and fine-tuning the Gemma model using Ray for distributed computing, outlining steps to create and configure Ray clusters and Docker images, and leveraging Google Cloud services like Cloud Storage and TensorBoard for artifact management and job tracking. The tutorial demonstrates how to fine-tune Gemma for summarizing newspaper articles using HuggingFace Transformers, evaluate model performance with ROUGE metrics, and generate offline predictions at scale with Ray Data. It also emphasizes the importance of cleaning up resources post-tutorial to avoid unnecessary costs, and encourages engagement with the Google Developer Community for further learning and collaboration.

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