Compare 20+ cloud platforms for deploying AI agents — from $0.15/mo Fly.io suspend to $3.95/hr Modal H100s. Covers ephemeral sandboxes, durable workflows, GPU clouds, and how Devin, Codex, and Cursor actually do it.
Compare naive RAG, advanced RAG, agentic RAG, and GraphRAG architectures with real benchmarks, costs, and practical recommendations for production systems.
A deep technical guide to how LLMs actually work — from the transformer architecture and attention mechanism to tokenization, training at scale, KV caching, inference acceleration, fine-tuning, and the modern innovations powering GPT-4o, Claude, Llama 3, and beyond. Backed by 30+ research papers.
A comprehensive guide to maximizing LLM inference performance on Apple Silicon — MLX vs llama.cpp benchmarks, quantization formats, RAM requirements, MoE models, speculative decoding, KV cache optimization, and the best models for every Mac configuration.
A complete guide to building Andrej Karpathy's LLM Wiki — the AI-maintained knowledge base pattern that replaces RAG with structured markdown. Covers the three-layer architecture, setup with Claude Code + Obsidian, ingest/query/lint workflows, and community implementations.
