Week 14: Future Frontiers
What's next in AI infrastructure and applications
Time Estimate: 3-4 hours
Topics Covered
- Multimodal models (vision + language)
- Agent-based AI systems
- The trajectory toward AGI
- AI safety and alignment challenges
- The next 5 years of AI development
Featured Speaker
JH
Jensen Huang
CEO & Founder, NVIDIA
Learn from industry leaders who are building the future of AI infrastructure and applications.
Video Resources
📹 Video content will be added here by Agent 2
Videos include keynotes, technical talks, and tutorials from industry leaders.
Reading Materials
📚 Reading list will be added here by Agent 3
Research papers, blog posts, and technical documentation.
🛠️ Hands-On Lab
Fine-tune Stable Diffusion
Intermediate 3 hoursObjective
Run Stable Diffusion inference, fine-tune with DreamBooth, and optimize for edge deployment.
Prerequisites
- PyTorch and Diffusers library
- Understanding of diffusion models
- Google Colab with GPU
- Basic ONNX knowledge helpful
Setup Instructions
- Install diffusers:
pip install diffusers transformers accelerate - Install ONNX Runtime:
pip install onnxruntime-gpu - Download Stable Diffusion 1.5 or 2.1
- Prepare 5-10 images for DreamBooth fine-tuning
Tasks
- Run Stable Diffusion inference with different prompts
- Fine-tune with DreamBooth on custom subject
- Export model to ONNX format
- Deploy optimized model with ONNX Runtime
- Measure inference speed improvements
- Generate images from your fine-tuned model