Databricks Assistant helps you get from initial exploration all the way to production faster and easier than ever. In this session, we'll show you how Assistant simplifies and accelerates common workflows, boosting your productivity across notebooks and the SQL editor. You'll get practical tips, see end-to-end examples in action, and hear about the latest capabilities we're excited about. We'll also discuss how we're continually improving Assistant to make your development experience faster, more contextual and more customizable. Join us to discover how to get the most out of Databricks Assistant and empower your team to build better and faster.

Amazon SageMaker HyperPod is purpose built for developing foundation models (FM), reducing time to train by up to 40%. To accelerate generative AI innovation even more, SageMaker HyperPod now empowers users to create flexible training plans with multiple blocks of accelerated compute resources, allowing them to train FMs within their budgets and timelines. In addition, users can get started quickly with the ready-to-use SageMaker HyperPod recipes to train and fine-tune popular publicly available FMs in hours instead of weeks with state-of-the-art cost performance.

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