What does Self-Play mean? Definition | AI Understanding

Definition

A training setup where a model improves by generating data through interactions or competitions with copies of itself.

Related terms

An empirical relationship showing how performance improves with model size, data, or compute.

Self-Supervised Learning

Learning representations from unlabeled data by predicting masked or transformed parts.

Artificially generated data used to augment, simulate, or protect sensitive training data.

Backpropagation

The core training algorithm that updates model weights by propagating prediction errors backward through the network.

Continual Learning

Training approaches that let a model keep learning from new data without forgetting prior knowledge.

Data Augmentation

Techniques that create modified training examples to improve model generalization.

Learn more in our free guides

BYOL and Non-Contrastive Self-Supervision Pseudo-Labeling and Self-Training Self-Consistency Decoding Toolformer and Self-Taught Tool Use

See also

Post-training RAG-Fusion Mid-training Multi-Query Retrieval Watermarking Parent-Document Retrieval Citations Beam Search

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