What You Need to Know Before
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Starts 6 June 2025 18:00
Ends 6 June 2025
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11 minutes
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Overview
Discover how PaliGemma enhances Gemma 2 with vision capabilities through SigLIP encoding, pre-trained on multiple visual tasks and scalable across different resolutions and model sizes.
Syllabus
- Introduction to PaliGemma
- Understanding Vision Encoders
- SigLIP Encoding Mechanism
- Integration of Vision Encoder with Gemma 2
- Scalability Across Resolutions
- Practical Applications and Use Cases
- Hands-on Workshop
- Evaluation and Optimization
- Future Trends in AI Vision Systems
Overview of PaliGemma and Gemma 2
Importance of adding vision capabilities
Basics of vision encoders in AI
Introduction to SigLIP encoding
Detailed architecture of SigLIP
Pre-training on multiple visual tasks
Steps to integrate SigLIP into Gemma 2
Challenges and solutions in integration
Handling different image resolutions
Techniques for scaling model size
Real-world applications of PaliGemma
Case studies and success stories
Setting up the environment
Step-by-step guidance on adding a vision encoder
Practical exercises and projects
Performance metrics for vision models
Optimizing for accuracy and speed
Emerging technologies in AI vision
Future directions for PaliGemma development
Subjects
Computer Science
