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8min chapter
Gemini 2.0 and the evolution of agentic AI with Oriol Vinyals
Google DeepMind: The Podcast
Evolution of AI Agents
This chapter explores the transformation in AI agents from performing narrow tasks to mastering complex activities, like playing strategic games and engaging in human-like interactions. It examines the key advancements in reinforcement learning and the training processes involved in developing models like AlphaGo and AlphaStar. The discussion sheds light on the workings of neural networks and the significance of fine-tuning to optimize AI performance across diverse applications.
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode