Tulsee Doshi, model product lead for Gemini at Google, shares insights on the groundbreaking Gemini 2.0. She discusses the model's significant improvements over its predecessor, including enhanced multimodal capabilities and native tool use, which boost productivity in Google products. Doshi highlights the thrill of launching experimental models while emphasizing the importance of user feedback in refining AI technology. The conversation also unveils innovations like function calling and sophisticated AI agents that lead to richer, personalized user experiences.

Emanuel Taropa, a leading developer of Google’s Gemini AI, shares his expertise on the technical intricacies of large language models. He discusses the challenges and triumphs during the launch of the Flash 8B model, emphasizing the shift to smaller, cost-effective models for enhanced accessibility. The conversation also touches on the art of naming models and how these names can inspire innovation amidst launch pressures. Taropa reflects on the teamwork and culture at Google that fuels ongoing advancements in AI technology.