LLMs & AI Engineering · How LLMs work
Neural networks & gradient descent
The machinery under every LLM: neurons as weighted sums, layers, a loss function that scores mistakes, and gradient descent, which nudges every weight downhill.
Step 1 of 6 · Overview30 min read ·
Key idea
Prereqs: Python foundations (comfort with functions & loops). Helpful: slope from algebra. Next: How LLMs work. Follows 3Blue1Brown chapters 1–2 and Karpathy's micrograd.Next: 1. A neuron is a weighted sum