

Smaller, Faster, Cheaper & The Story of Flash 8B
Dec 5, 2024
Emanuel Taropa, a leading developer of Google’s Gemini AI, shares his expertise on the technical intricacies of large language models. He discusses the challenges and triumphs during the launch of the Flash 8B model, emphasizing the shift to smaller, cost-effective models for enhanced accessibility. The conversation also touches on the art of naming models and how these names can inspire innovation amidst launch pressures. Taropa reflects on the teamwork and culture at Google that fuels ongoing advancements in AI technology.
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Google AI Journey
- Emanuel Taropa reflects on Google's AI journey, from initial Bard to Gemini 8B.
- Despite initial challenges and his optimistic nature, launches often happen ahead of schedule.
Model Infrastructure Value
- Building infrastructure around AI models offers significant value.
- Long context, while enabled by models, depends heavily on robust infrastructure.
Faster Launches
- Be bolder with product releases, even if experimental, and clearly explain limitations.
- Prioritize user value, and improve based on feedback.