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Kathleen Kenealy - Creating, building, and releasing Gemma, Google's open model family

Kathleen Kenealy - Creating, building, and releasing Gemma, Google's open model family

FromPeople of AI


Kathleen Kenealy - Creating, building, and releasing Gemma, Google's open model family

FromPeople of AI

ratings:
Length:
55 minutes
Released:
Mar 28, 2024
Format:
Podcast episode

Description

Meet Kathleen Kenealy, a Software Engineer at Google DeepMind, working on the next generation of large language models (LLMs) and open models. In the episode we talk about Gemma, Google’s newest family of lightweight, state-of-the-art open models built from the same research and technology used to create the Gemini models.  Join us as we unpack the history and the importance of open technology at Google and the advantages and risks of sharing cutting edge technology with the world. We learn how that open technology started Kathleen on her own journey into AI. Kathleen shares her experience growing her team from being the only team member at first working on Gemma, growing up loving STEM, her graduate school experience working with AI Chatbots, and more on this episode of People of AI hosted by Ashley Oldacre! Resources: Gemma links: Gemma: Introducing new state-of-the-art open models → https://goo.gle/3UYQksT Fine-Tuning Gemma Models in Hugging Face → https://goo.gle/3TiAU1m Gemma models in Kaggle → https://goo.gle/48ypQ4p Shining Brighter Together: Google’s Gemma Optimized to Run on NVIDIA GPUs → https://goo.gle/3Tf1wjA Google AI Studios → https://goo.gle/3P3eCxM  Gemini Era links: Announcement → https://goo.gle/3uYRhGM Gemini API → https://goo.gle/3T1kmJS  TensorFlow → https://goo.gle/3BwLZSN  Responsible AI: Conversation with Tulsee Doshi → https://goo.gle/4a75OzA Responsible Generative AI Toolkit → https://goo.gle/4czolWO 
Released:
Mar 28, 2024
Format:
Podcast episode

Titles in the series (24)

People of AI is a podcast showcasing inspiring people with interesting stories in the world of Artificial Intelligence (AI) and its subset, Machine Learning (ML). The podcast will interview leaders, practitioners, researchers and learners in the field of AI/ML and invite them to share their stories, what they are building, lessons learned along the way, and excitement for the AI/ML industry.