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Tris Warkentin - Introducing Gemma, Google's family of open models

Tris Warkentin - Introducing Gemma, Google's family of open models

FromPeople of AI


Tris Warkentin - Introducing Gemma, Google's family of open models

FromPeople of AI

ratings:
Length:
58 minutes
Released:
Apr 4, 2024
Format:
Podcast episode

Description

Meet Tris Warkentin, Product Management lead for Google DeepMind’s next-generation AI research, working to achieve Artificial General Intelligence (AGI). Learn about the Gemini ecosystem and Google’s newest family of open models, Gemma! Discover what it can do and why this is a monumental step for the developer community. Unpack the power and exciting new capabilities this will unleash in the hands of developers and how this has been a long tradition in Google history. Dive into what it means to release a generative model like this into the public, addressing potential concerns and the Responsible AI measures in place to mitigate unethical use. Learn about AGI, Tris’s start in the tech industry as a technical writing intern, and more on this People of AI episode hosted by Ashley and Gus! Resources: Gemma links: Gemma Developer Day 2024 → https://goo.gle/4as2nnu 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  Responsible AI: Conversation with Tulsee Doshi → https://goo.gle/4a75OzA Responsible Generative AI Toolkit → https://goo.gle/4czolWO  Levels of AGI: Operationalizing Progress on the Path to AGI → https://goo.gle/3TJMKR4  Carl McBride Notebook → https://goo.gle/3vEgfM0 
Released:
Apr 4, 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.