Blog Series

Master efficient LLMs under 3B parameters—models that match 5× larger competitors on reasoning tasks. From distillation to edge deployment, learn the techniques making AI accessible everywhere.

Comprehensive technical analysis of Andrej Karpathy's nanochat project. Deep dives into architecture, training pipeline, optimizers, and proposals for evolving this minimal LLM implementation.

A journey from over-engineered build-time rendering to elegant client-side solutions. Explores three architectures and learns valuable lessons about premature optimization.