Gemini 2.0 and the Evolution of Agentic AI with Oriol Vinyals

<p>In this episode, Hannah is joined by Oriol Vinyals, VP of Drastic Research and Gemini co-lead. They discuss the evolution of agents from single-task models to more general-purpose models capable of broader applications, like Gemini. Vinyals guides Hannah through the two-step process behind multi modal models: pre-training (imitation learning) and post-training (reinforcement learning). They discuss the complexities of scaling and the importance of innovation in architecture and training processes. They close on a quick whirlwind tour of some of the new agentic capabilities recently released by Google DeepMind. </p><p>Note: To see all of the full length demos, including unedited versions, and other videos related to Gemini 2.0 head to <a href="https://www.youtube.com/playlist?list=PLqYmG7hTraZD8qyQmEfXrJMpGsQKk-LCY">YouTube</a>.</p><p>Future reading/watching: </p><ul><li><a href="https://deepmind.google/ ">Gemini 2.0</a> </li><li><a href="https://www.youtube.com/watch?v=lH74gNeryhQ&"...