Using Gemini for Enterprise with Googler Jupiter Angulo
Episode 14, Mar 18, 06:32 AM
In this AI Paper Club Podcast episode, hosts Rafael Herrera and Sonia Marques and guest Jupiter Angulo from Google discuss Gemini, a groundbreaking multimodal model by DeepMind. They delve into its enterprise applications, efficiency, scalability, and Google's approach to AI challenges and responsible deployment, highlighting its transformative impact on both enterprise and consumer sectors.
In this month’s episode of the AI Paper Club Podcast, hosts Rafael Herrera and Sonia Marques welcome special guest Jupiter Angulo from Google. He helps us explore the innovations behind Gemini, its applications in enterprise settings, and Google's latest advancements in multimodal models.
Developed by Google's think tank, DeepMind, Gemini represents a significant leap forward, offering efficient, scalable, and cost-effective solutions for both enterprise and consumer applications. With Jupiter's insights, we get a behind-the-scenes look at the challenges and opportunities presented by AI integration across various enterprise sectors, exploring the model's versatility and Google's commitment to responsible deployment.
We also extend a special thank you to the research teams at Google’s DeepMind for developing this month's paper. If you are interested in reading the paper for yourself, please check this link: https://arxiv.org/abs/2312.11805.
For more information on all things artificial intelligence, machine learning, and engineering for your business, please visit www.deeperinsights.com or reach out to us at thepaperclub@deeperinsights.com.
Developed by Google's think tank, DeepMind, Gemini represents a significant leap forward, offering efficient, scalable, and cost-effective solutions for both enterprise and consumer applications. With Jupiter's insights, we get a behind-the-scenes look at the challenges and opportunities presented by AI integration across various enterprise sectors, exploring the model's versatility and Google's commitment to responsible deployment.
We also extend a special thank you to the research teams at Google’s DeepMind for developing this month's paper. If you are interested in reading the paper for yourself, please check this link: https://arxiv.org/abs/2312.11805.
For more information on all things artificial intelligence, machine learning, and engineering for your business, please visit www.deeperinsights.com or reach out to us at thepaperclub@deeperinsights.com.