How can a computer tell that "blueberry" is more like "strawberry" than "red"? It starts by turning language into math, unlocking smarter tools for cities in the process.
When ChatGPT responds to your prompt, it's not retrieving an answer from a database. It's predicting the next word, one token at a time, based on probability.
LLM hallucination is manageable, but not by waiting for smarter models. The real solution is giving the model less room to guess. Here are four techniques that make AI outputs dramatically more reliable.
A vague prompt gets unpredictable results. A specific one gets reliable results. Here's how to write prompts that actually work, using techniques you already know from managing people.