Gemini 2.0 and the Evolution of Agentic AI with Oriol Vinyals

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 YouTube . Future reading/watching: Gemini 2.0 Decoding Google Gemini with Jeff Dean Gaming, Goats & General Intelligence with Frederic Besse Thanks to everyone who made this possible, including but not limited to: Presenter: Professor Hannah Fry Series Producer: Dan Hardoon Editor: Rami Tzabar, TellTale Studios Commissioner & Producer: Emma Yousif Music composition: Eleni Shaw Camera Director and Video Editor: Bernardo Resende Audio Engineer: Perry Rogantin Video Studio Production: Nicholas Duke Video Editor: Bilal Merhi Video Production Design: James Barton Visual Identity and Design: Eleanor Tomlinson Commissioned by Google DeepMind —

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Gemini 2.0 and the Evolution of Agentic AI with Oriol Vinyals is an episode from DeepMind: The Podcast by Google DeepMind.

This episode is 00:49:25 long.

This episode was published on Dec 12, 2024.

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