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Google AI Release Notes - Smaller, Faster, Cheaper & The Story of Flash 8B

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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.

00:00 Welcome
00:30 Meet Emanuel Taropa
02:24 Gemini to Date
04:55 How Important is Infrastructure in AI?
10:05 The Story of Flash 8B
15:56 How to Ship at Scale
21:26 The Cost Compression of Small Models
26:58 Can Models Go Even Smaller?
29:03 What’s in a Model Name?
35:00 Questions from the Community
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Project
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Google, developers
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