Reproducibility

Intermediate

Ability to replicate results given same code/data; harder in distributed training and nondeterministic ops.

Full Definition

Ability to replicate results given same code/data; harder in distributed training and nondeterministic ops.

Keywords

determinism seeds

Domains

Foundations & Theory

Related Terms

Data Lineage related to

Tracking where data came from and how it was transformed; key for debugging and compliance.

 Latency related to

Time from request to response; critical for real-time inference and UX.

 Compute related to

Hardware resources used for training/inference; constrained by memory bandwidth, FLOPs, and parallelism.

 Parameter-Efficient Fine-Tuning related to

Techniques that fine-tune small additional components rather than all weights to reduce compute and storage.

 Data Governance related to

Processes and controls for data quality, access, lineage, retention, and compliance across the AI lifecycle.

 Model Card related to

Standardized documentation describing intended use, performance, limitations, data, and ethical considerations.

 Datasheet for Datasets related to

Structured dataset documentation covering collection, composition, recommended uses, biases, and maintenance.

 Model Registry related to

Central system to store model versions, metadata, approvals, and deployment state.

Concept Map

See how Reproducibility connects to other concepts.

Open Knowledge Graph