You can use statistics to estimate a child’s final height by their current height and their parents’ height.
People “train” models by writing a program to randomly make and modify equations, then keep them depending on if new accuracy is higher.
Generative AI can predict what first result on google search or first reply on whatsapp will look like for llms.
There are problems. Training from 94% to 95% accuracy takes exponentially more resources as it doesn’t have some “code” you can fix. Hallucinations will happen.
On the other side, procedural algorithms in games just refer to handwritten algorithms.
For example a programmer may go “well a maze is just multiple, smaller mazes combined.” Then write a program to generate mazes based on that concept.
It’s much cheaper, you don’t need GPU or internet connection to use the algorithm. And if it doesn’t work people can debug it on the spot.
Also it doesn’t require stealing from 100 million people to be usable
(I kinda oversimplified generative AI, modern models may do something entirely different)
You can use statistics to estimate a child’s final height by their current height and their parents’ height.
People “train” models by writing a program to randomly make and modify equations, then keep them depending on if new accuracy is higher.
Generative AI can predict what first result on google search or first reply on whatsapp will look like for llms.
There are problems. Training from 94% to 95% accuracy takes exponentially more resources as it doesn’t have some “code” you can fix. Hallucinations will happen.
On the other side, procedural algorithms in games just refer to handwritten algorithms.
For example a programmer may go “well a maze is just multiple, smaller mazes combined.” Then write a program to generate mazes based on that concept.
It’s much cheaper, you don’t need GPU or internet connection to use the algorithm. And if it doesn’t work people can debug it on the spot.
Also it doesn’t require stealing from 100 million people to be usable
(I kinda oversimplified generative AI, modern models may do something entirely different)