Google's Gemini Ultra takes the spotlight this week, as host Jon Krohn welcomes Lisa Cohen, Google's Director of Data Science and Engineering, for a conversation about the launch of Gemini Ultra. Discover the capabilities of this cutting-edge large language model and how it stands toe-to-toe with GPT-4. Lisa shares her insights on the development, rollout, and potential of Gemini Ultra in reshaping various sectors. Whether you're a data science professional, tech enthusiast, or curious about the future of AI, this episode offers a deep dive into one of the most significant advancements in artificial intelligence.

This episode is brought to you by Ready Tensor, where innovation meets reproducibility (https://www.readytensor.ai/), and by Intel and HPE Ezmeral Software Solutions (https://hpe.com/ezmeral/chatbots). Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.

In this episode you will learn:
• Google’s Gemini model family and Lisa's key responsibilities [04:55 ]
• How LLMs will transform the practice of Data Science [19:47 ]
• Lisa on prompt engineering and reinforcement learning from human feedback [24:38 ]
• How to fine-tune Gemini models with Google's Vertex AI [30:52 ]
• How AI-assistants will transform life and work for everyone from data scientists to educators to children [47:14 ]
• The challenges of developing a data-centric culture [57:31 ]
• Centralized vs decentralized data science teams [1:03:50 ]

Additional materials: www.superdatascience.com/761