The AI category covers machine learning engineering and practical applications of artificial intelligence. It focuses on understanding how models work and deploying them in real-world contexts:

• Model Architecture: How neural networks are designed, trained, and optimized.
  • Topics: Transformers, quantization, inference frameworks, scaling laws.
• Edge AI: Running models on consumer hardware, browsers, and mobile devices.
  • Topics: bitnet.cpp, WebGPU inference, on-device fine-tuning, memory optimization.