Parameters
The internal numerical values an AI model learns during training — roughly, a measure of the model's size and capacity.
01 Definition
Parameters are the adjustable internal values inside a neural network that get tuned during training. Models are often described by parameter count (like '70 billion parameters') as a rough proxy for their scale and capability, though it isn't the only factor that matters.
02 Why It Matters
This is why you'll see model sizes described in billions of parameters — it helps explain why bigger models are often (but not always) more capable, and typically slower and more expensive to run.
03 Example
A '7B' model has about 7 billion parameters; a '70B' model has roughly ten times as many.