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Explore a series of talks from the Ray Community European Meetup covering various aspects of Ray and machine learning. Begin with an overview of Ray Serve, learning how to deploy and scale machine learning models using a simple Python API. Discover techniques for on-demand scaling of Serve replicas using a REST API controller. Delve into smart shortcuts for bootstrapping modern NLP projects, including active learning, weak supervision, few-shot learning, and cross-lingual models. Gain insights from industry experts on implementing MLOps patterns, optimizing content management processes, and leveraging Ray for efficient machine learning workflows.