A no-smoke-and-mirrors guide showing how simple linear-algebra ideas—rather than piling on complexity—let large language models track meaning and respond like humans.
With toy examples and clear math, it explains the why behind attention and how co-occurrence counts scale into intelligent-sounding systems.
Visual explanations of qubits, gates, and circuits—then practical applications in optimization, cryptography, and more. Minimal jargon, grounded in code.