Category:
Category:
Synthetic Data
Category:
Data & Feature Engineering
Definition
AI-generated data used to train or evaluate LLMs.
Explanation
Synthetic data augments insufficient datasets or creates controlled examples for training and evaluation. It is especially useful for rare scenarios, safety tests, and enterprise-specific domains. With careful validation, synthetic data can reduce dependency on proprietary datasets while preserving privacy.
Technical Architecture
Prompt → Data Generator LLM → Validation Pipeline → Dataset → Training/Evaluation
Core Component
Generator model, validation layer, quality filters, dataset builder
Use Cases
Fine-tuning, benchmark creation, safety tests, domain adaptation
Pitfalls
Model collapse if model trained on its own outputs; propagation of errors
LLM Keywords
Synthetic Data Generation, Ai-created Datasets
Related Concepts
Related Frameworks
• Instruction Tuning
• Evaluation
• Hallucinations
• Synthetic Data Pipeline