Gemma, DeepMind's Family of Open Models — Omar Sanseviero, Google DeepMind
Google DeepMind’s Gemma family is expanding. Join us for a deep dive into the latest models of the Gemma ecosystem. From vibe fine-tuning to Sovereign AI, you'll learn about the latest model capabilities, how to build high-performance applications, and how to get started with open models.
Speaker info:
- https://x.com/osanseviero
- https://www.linkedin.com/in/omarsanseviero/
- https://github.com/osanseviero
Timestamps
0:00 Introduction to the Gemma model family
0:41 Evolution from Gemma 3 to Gemma 4
1:21 Overview of the new Gemma 4 capabilities
2:31 Live demonstrations of on-device applications
3:38 LM Arena scores and performance benchmarks
5:07 Apache 2 license transition
5:27 Technical deep dive: The E2B architecture and per-layer embeddings
6:57 Multimodal understanding and multilingual support
8:43 Ecosystem growth and community adoption
10:07 Product integrations, including Android Studio
10:46 Statistics on model downloads and fine-tuning
11:27 Official Gemma variants: Shield Gemma and MedGemma
12:16 Community research and sovereign AI efforts
12:56 Real-world applications, from cancer therapy to offline tasks
14:05 Closing remarks and future outlook
Watch on YouTube ↗
(saves to browser)
Sign in to unlock AI tutor explanation · ⚡30
More on: CV Basics
View skill →Related AI Lessons
⚡
⚡
⚡
⚡
Demystifying CNNs: How Convolutional Filters and Max-Pooling Actually Work
Medium · Data Science
Your "Biometric Age Check" Isn't Verifying Identity — And Defense Lawyers Know It
Dev.to AI
MoCapAnything V2: End-to-End Motion Capture for Arbitrary Skeletons
Medium · Machine Learning
How I Built a Perceptual Color Quantization Engine for LEGO Mosaics
Dev.to · BMBrick
Chapters (15)
Introduction to the Gemma model family
0:41
Evolution from Gemma 3 to Gemma 4
1:21
Overview of the new Gemma 4 capabilities
2:31
Live demonstrations of on-device applications
3:38
LM Arena scores and performance benchmarks
5:07
Apache 2 license transition
5:27
Technical deep dive: The E2B architecture and per-layer embeddings
6:57
Multimodal understanding and multilingual support
8:43
Ecosystem growth and community adoption
10:07
Product integrations, including Android Studio
10:46
Statistics on model downloads and fine-tuning
11:27
Official Gemma variants: Shield Gemma and MedGemma
12:16
Community research and sovereign AI efforts
12:56
Real-world applications, from cancer therapy to offline tasks
14:05
Closing remarks and future outlook
🎓
Tutor Explanation
DeepCamp AI