Notebook
Things I'm learning about. I'm a visual learner so most of these are interactive.
AI System Design
Eight decisions for designing AI-powered products. User-first design, model selection, orchestration, failure modes.
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Agent Teams
Multi-agent orchestration patterns. Agent loops, DAGs, fan-out/fan-in, and the six knobs per agent.
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Training Loops
How models learn. Forward pass, backward pass, gradients, optimization, and learning rate schedules.
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Model Architecture
Inside the neural network. Embeddings, attention layers, multi-head attention, MLPs, depth vs width.
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Data Pipelines
How text becomes training data. Tokenization, batching, packing, and evaluation metrics.
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