#Gemini #GeminiUltra #GoogleGemini Google's Gemini Ultra takes the spotlight this week, as host @JonKrohnLearns 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 https://passionfroot.me/superdatascience for sponsorship information. In this episode you will learn: • [00:00:00] Introduction • [00:03:00] Google’s Gemini model family and Lisa's key responsibilities • [00:17:41] How LLMs will transform the practice of Data Science • [00:22:32] Lisa on prompt engineering and reinforcement learning from human feedback • [00:28:47] How to fine-tune Gemini models with Google's Vertex AI • [00:45:09] How AI-assistants will transform life and work for everyone from data scientists to educators to children • [00:55:26] The challenges of developing a data-centric culture • [01:01:45] Centralized vs decentralized data science teams Additional materials: https://www.superdatascience.com/761