Name: Keynote: Gemma 4: Compacting Intelligence for the Edge - Léonard Hussenot, Research Scientist, Google Deepmind
Start: 2026-04-08T09:50:00+0200
End: 2026-04-08T10:05:00+0200

7-8 April, 2025
Paris, France
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Keynote: Gemma 4: Compacting Intelligence for the Edge - Léonard Hussenot, Research Scientist, Google Deepmind

Wednesday April 8, 2026 09:50 - 10:05 CEST

Master Stage

This talk explores the philosophy and engineering behind Gemma 4, arguing that the future of AI isn't only about size, but about "intelligence per byte."
We will dive into why compacting intelligence—maximizing the reasoning and instruction following ability of every single token—is the ultimate bottleneck for truly useful AI. By optimizing for token efficiency and memory footprints, we unlock a new class of applications that are faster, private, and more accessible.

Speakers

Leonard Hussenot

Research Scientist, Google Deepmind

I am a Research Scientist at Google DeepMind, where I lead the Gemma post-training team focused on developing the most useful compact models for on-device applications. Since joining Google Brain, I have contributed to the evolution of Bard, Gemini, and Gemma, specializing in scaling... Read More →

Wednesday April 8, 2026 09:50 - 10:05 CEST
Master Stage

Keynote Sessions

Audience Level Any

PyTorch Conference Europe 2026

Leonard Hussenot

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