Definition
The programmatic creation of high-fidelity datasets using LLMs to simulate user queries, document segments, or gold-standard answers for RAG evaluation and fine-tuning. While it solves cold-start data problems and privacy concerns, trade-offs include the risk of model collapse and the propagation of systematic LLM biases.
High-fidelity AI training sets, not generic mock data for software UI testing.
"The Flight Simulator: creating realistic virtual scenarios to train models for conditions that are rare, expensive, or dangerous to capture in the real world."
- Ground Truth(Prerequisite)
- RAGAS(Component)
- Model Collapse(Risk)
- Few-Shot Prompting(Prerequisite)
Conceptual Overview
The programmatic creation of high-fidelity datasets using LLMs to simulate user queries, document segments, or gold-standard answers for RAG evaluation and fine-tuning. While it solves cold-start data problems and privacy concerns, trade-offs include the risk of model collapse and the propagation of systematic LLM biases.
Disambiguation
High-fidelity AI training sets, not generic mock data for software UI testing.
Visual Analog
The Flight Simulator: creating realistic virtual scenarios to train models for conditions that are rare, expensive, or dangerous to capture in the real world.