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. 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>.Future reading/watching: <ul><li><a href="https://deepmind.google/ ">Gemini 2.0</a> </li><li><a href="https://www.youtube.com/watch?v=lH74gNeryhQ&">Decoding Google Gemini with Jeff Dean</a></li><li><a href="https://www.youtube.com/watch?v=64pndvbbokA">Gaming, Goats & General Intelligence with Frederic Besse</a></li></ul>Thanks to everyone who made this possible, including but not limited to: Presenter: Professor Hannah FrySeries Producer: Dan HardoonEditor: Rami Tzabar, TellTale Studios Commissioner & Producer: Emma YousifMusic composition: Eleni ShawCamera Director and Video Editor: Bernardo ResendeAudio Engineer: Perry RogantinVideo Studio Production: Nicholas DukeVideo Editor: Bilal MerhiVideo Production Design: James BartonVisual Identity and Design: Eleanor TomlinsonCommissioned by Google DeepMind— Subscribe to our <a href="https://www.youtube.com/@UCP7jMXSY2xbc3KCAE0MHQ-A ">YouTube channel </a>Find us on <a href="https://twitter.com/GoogleDeepMind">X</a>Follow us on <a href="https://instagram.com/googledeepmind">Instagram</a>Add us on <a href="https://www.linkedin.com/company/deepmind/">Linkedin</a>
Please like and subscribe on your preferred podcast platform. Want to share feedback? Or have a suggestion for a guest that we should have on next? Leave us a comment on YouTube and stay tuned for future episodes.&nbsp;&nbsp;

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