Listen: Token Probability
The likelihood a model assigns to each candidate next token; low probabilities flag where the model is uncertain about your brand or topic.
Transcript
When an artificial intelligence writes text, it is not just pulling words out of thin air. Behind every single word is a calculation called token probability. This is the likelihood the model assigns to each possible next word as it generates a sentence.
Every time the AI outputs a word, it is making a choice from a massive vocabulary, and the math behind that choice reveals exactly how confident or uncertain the model is at that exact moment. If the probabilities are low and spread out among many different options, the model is essentially hesitating. These moments of high uncertainty can highlight weak spots in how the AI understands or describes something, like your brand.
By analyzing these probabilities, we can measure word rarity and uncertainty. This is the raw signal that powers advanced tools and helps us reshape how the model behaves using controls like temperature. Ultimately, tracking these probabilities turns the seemingly mysterious inner workings of AI into a measurable, actionable target.