Explain Like I'm a Specific Expert
Explain how a large language model (like GPT or Claude) learns and generates text to each of these three audiences: 1. **An experienced…
1. To the Experienced Software Engineer (Distributed Systems Background): Think of a large language model as a highly sophisticated state machine trained at internet scale, where the state is a high-dimensional vector (the context window) and the transition function is a neural network.Read the full answer
For an experienced software engineer Training a large language model is not “just” making it guess the next word in isolation. It is fitting an enormous parameterized function to predict the next token conditioned on all previous tokens in a sequence.Read the full answer