large-scale model

C37717
concept

A large-scale model is a computational model, often in machine learning or simulation, that operates with vast numbers of parameters or variables to capture complex patterns or behaviors across extensive datasets or systems.

All labels observed (2)

Label Occurrences
large-scale model canonical 1
sparse attention model 1

Description generation (CDg)

The one-sentence description above was generated by prompting gpt-5.1 with the class name and this instruction.

Instruction
generate a one-sentence description for a given conceptual class.
# Response Format
Return only the sentence: "Description: [one-sentence description of the conceptional class]"
Input
Class: large-scale model
Generated description
A large-scale model is a computational model, often in machine learning or simulation, that operates with vast numbers of parameters or variables to capture complex patterns or behaviors across extensive datasets or systems.

Instances (2)

Instance Via concept surface
Claudio Urrutia
surface form: Relief Map of Guatemala
BigBird sparse attention model