Models
Large Language Model Architectures Explained: Mathematics, Programs, Analogies, and Data Flow
A deep architectural guide to LLMs—tokenization, embeddings, RNNs, Transformers, attention, MoE, linear attention, DeltaNet, RetNet, Mamba, RWKV, Hyena, diffusion LMs, multimodal models, RAG, LoRA, KV cache, and production trade-offs—with KaTeX equations and runnable PyTorch sketches.
AI Playbook2026-07-2831 min readadvanced
Executive takeaway
A deep architectural guide to LLMs—tokenization, embeddings, RNNs, Transformers, attention, MoE, linear attention, DeltaNet, RetNet, Mamba, RWKV, Hyena, diffusion LMs, multimodal models, RAG, LoRA, KV cache, and production trade-offs—with KaTeX equations and runnable PyTorch sketches.
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