What You Need to Know Before
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Starts 5 June 2025 10:44
Ends 5 June 2025
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Overview
Explore the technical foundations of Gemma 3 as Google's research team unveils the architecture, design principles, and innovations behind these lightweight, state-of-the-art open models.
Syllabus
- Introduction to Gemma 3
- Architecture of Gemma 3
- Design Principles
- Technical Foundations
- Model Efficiency
- Scalability and Deployment
- Case Studies and Applications
- Research and Development
- Future Prospects and Developments
- Conclusion
Overview of Gemma 3's role in AI development
Historical context and evolution from previous versions
Core components and their interactions
Innovations in neural network design
Philosophy behind Gemma 3's design
Design trade-offs and decision-making process
Underlying algorithms and technologies
Data handling and preprocessing techniques
Strategies for reducing model size
Techniques to accelerate inference time
Challenges in scaling across platforms
Deployment strategies for various use cases
Real-world applications demonstrating Gemma 3
Success stories and key takeaways
Current research directions in Gemma 3
Opportunities for community contributions
Upcoming features and planned enhancements
Long-term vision for Gemma 3
Recap of learnings
Opportunities for further study and engagement with the Gemma 3 ecosystem
Subjects
Computer Science
