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

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Conteúdo fornecido por Google Developer Podcasts. Todo o conteúdo do podcast, incluindo episódios, gráficos e descrições de podcast, é carregado e fornecido diretamente por Google Developer Podcasts ou por seu parceiro de plataforma de podcast. Se você acredita que alguém está usando seu trabalho protegido por direitos autorais sem sua permissão, siga o processo descrito aqui https://pt.player.fm/legal.

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

  continue reading

28 episódios

Artwork
iconCompartilhar
 
Manage episode 410664567 series 3458329
Conteúdo fornecido por Google Developer Podcasts. Todo o conteúdo do podcast, incluindo episódios, gráficos e descrições de podcast, é carregado e fornecido diretamente por Google Developer Podcasts ou por seu parceiro de plataforma de podcast. Se você acredita que alguém está usando seu trabalho protegido por direitos autorais sem sua permissão, siga o processo descrito aqui https://pt.player.fm/legal.

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

  continue reading

28 episódios

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