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…
The Skeptical Software Engineer Think of an LLM as the world's most aggressive lossy compression problem. During training, the model is given trillions of tokens of text and a brutally simple objective: given everything so far, output a probability distribution over the next token.Read the full answer
For the Distributed-Systems Engineer Think of the model as a single, enormous state object—roughly 150 billion floating-point parameters—that has been trained offline over months on a cluster of thousands of GPUs.Read the full answer