AI Dictionary › Fondamenti AI

Synthetic Data

Dati sintetici

Synthetic data is artificially generated data, often by other AI models, rather than collected from the real world. It reproduces the statistical properties of real data without containing its records: a synthetic medical dataset "resembles" the real one but describes no existing patient.

Definition

Main uses: training when real data is scarce or sensitive, testing without exposing personal data, balancing skewed datasets. Risks: inherited bias and quality degradation from recursive training on model outputs ("model collapse").

Related terms

• Training Data
• Privacy by Design
• Fine-tuning
• AI Bias
• Machine Learning

More in Fondamenti AI

• LLM (Large Language Model)
• Token
• Context Window
• Temperature
• AI Hallucination
• Fine-tuning
• RAG (Retrieval Augmented Generation)
• Embedding

Put it into practice

• Real scenario: apply this concept with an instant AI verdict.
• Daily gym: short drills to train dictionary concepts.
• Playoff game: challenge other players, elimination-style.

📱 Download the Android app (beta) iOS coming soon

Say what you mean. Get what you need.

Grace Certified, the AI coach that trains and certifies your prompt engineering, by Agora Intelligence.