Explore Google's DeepMind Gen AI processors, an open-source library that standardizes input handling, preprocessing, model calls, and outputs into modular processor parts. Learn how asynchronous, bidirectional streams enable fast time-to-first-token and guaranteed output order without wrestling with threads. We'll walk through live-agent patterns and practical examples, and show quick-starts—from pip install to collab notebooks—so you can build responsive, multimodal AI apps today.

Note:  This podcast was AI-generated, and sometimes AI can make mistakes.  Please double-check any critical information.

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