Google AI: Release Notes

Google AI: Release Notes

By Google AIScienceTechnology
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Google AI: Release Notes episodes

  • Developing Google DeepMind's Thinking Models
    Jack Rae, Principal Scientist at Google DeepMind, joins host Logan Kilpatrick for an in-depth discussion on the development of Google’s thinking models. Learn more about practical applications of thinking models, the impact of increased 'thinking time' on

    Jack Rae, Principal Scientist at Google DeepMind, joins host Logan Kilpatrick for an in-depth discussion on the development of Google’s thinking models. Learn more about practical applications of thinking models, the impact of increased 'thinking time' on model performance and the key role of long context.

    01:14 - Defining Thinking Models
    03:40 - Use Cases for Thinking Models
    07:52 - Thinking Time Improves Answers
    09:57 - Rapid Thinking Progress
    20:11 - Long Context Is Key
    27:41 - Tools for Thinking Models
    29:44 - Incorporating Developer Feedback
    35:11 - The Strawberry Counting Problem
    39:15 - Thinking Model Development Timeline
    42:30 - Towards a GA Thinking Model
    49:24 - Thinking Models Powering AI Agents
    54:14 - The Future of AI Model Evals

    1 hr 4 min
  • Behind the Scenes of Gemini 2.0
    Tulsee Doshi, Gemini model product lead, joins host Logan Kilpatrick to go behind the scenes of Gemini 2.0, taking a deep dive into the model's multimodal capabilities and native tool use, and Google's approach to shipping experimental models.
    Watch on Y
    Tulsee Doshi, Gemini model product lead, joins host Logan Kilpatrick to go behind the scenes of Gemini 2.0, taking a deep dive into the model's multimodal capabilities and native tool use, and Google's approach to shipping experimental models.
    Watch on YouTube: https://www.youtube.com/watch?v=L7dw799vu5o
    Chapters:
    Meet Tulsee Doshi
    Gemini's Progress Over the Past Year
    Introducing Gemini 2.0
    Shipping Experimental Models
    Gemini 2.0’s Native Tool Use
    Function Calling
    Multimodal Agents
    Rapid Fire Questions
    36 min
  • Smaller, Faster, Cheaper & The Story of Flash 8B
    Logan Kilpatrick sits down with Emanuel Taropa, a key figure in the development of Gemini to delve into the cutting edge of AI. Taropa provides insights into the technical challenges and triumphs of building and deploying large language models, focusing o
    Logan Kilpatrick sits down with Emanuel Taropa, a key figure in the development of Gemini to delve into the cutting edge of AI. Taropa provides insights into the technical challenges and triumphs of building and deploying large language models, focusing on the recent release of the Flash 8B Gemini model.
    Their conversation covers everything from the intricacies of model architecture and training to the practical challenges of shipping AI models at scale, and even speculates on the future of AI.
    44 min

About Google AI: Release Notes

From the publisher's feed

Ever wondered what it's really like to build the future of AI? Join host Logan Kilpatrick for a deep dive into the world of Google AI, straight from the minds of the builders. We're pulling back the curtain on the latest breakthroughs, sharing the unfiltered stories behind the tech, and answering the questions you've been dying to ask.

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