sampling
Classifier-Free Guidance Lesson
Classifier-free guidance is the knob that makes image and video models actually follow your prompt: it runs the model twice - once with your prompt, once without - and pushes the output along the difference.
Why Asking an AI the Same Question 10,000 Times Barely Helps News
A new analysis shows that sampling many answers from an AI and picking the most common one hits a hard ceiling because the samples are correlated, not independent, so thousands of extra tries can be worth only a couple of genuinely new ones.
Test-Time Compute: Spending More Thinking at the Moment You Ask Lesson
Test-time compute is the idea of making an AI smarter not by retraining it, but by letting it do more work the moment you ask a question: think longer, or generate many answers and pick one.
Temperature and top-p: how an AI actually picks its next word Lesson
A language model does not know its next word - it produces a list of odds and then rolls dice. The rules of that dice roll are why the same prompt gives you a boring answer one day and a wild one the next.