Chain of Thought The Making of Gemini 2.0: DeepMind's Approach to AI Development and Deployment | Logan Kilpatrick
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Feb 12, 2025 
Logan Kilpatrick, Senior Product Manager at Google DeepMind, shares fascinating insights into the making of Gemini 2.0. He discusses Gemini's strength as a premier AI model, showcasing its multimodal capabilities and unique function calling approach. Logan highlights the role of Google's hardware in enhancing performance and long-context capabilities. The conversation also touches on the potential of vision-first AI agents and how Gemini is set to revolutionize developer experiences by integrating seamlessly into existing ecosystems.
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Google's AI History
- Google's AI development has been deeply integrated into products like Search for over a decade.
- The narrative of Google being late to AI overlooks this history and the recent convergence of research and product teams.
Gemini 2.0 Updates
- Developers wanting to use Gemini 2.0 Flash in production can now do so with higher rate limits.
- Gemini 2.0 Flashlight maintains a low price point, making AI development more accessible.
Gemini's Agentic Focus
- Gemini 2.0 is built for the agentic era, focusing on tool use and function calling.
- It prioritizes first-party tool integration with search and code execution to address LLMs limitations.