In practice, parameter spaces are often very large or infinite, and so successful heuristic procedures discard parameters "impatiently", based on very few observations.

Large language models lie at the center of recent advances in artificial intelligence.

Training deep neural networks on large datasets can often be accelerated by using multiple compute nodes.