What is Synthetic Data?
Artificially generated data used to train AI models when real data is scarce or sensitive.
Why It Matters
Synthetic data helps build AI systems when collecting real data is expensive, slow, or raises privacy concerns.
Real-World Example
Generating realistic but fake customer records to train a fraud detection model without using real customer data.
“Understanding terms like Synthetic Data matters because it helps you have better conversations with developers and make smarter decisions about your software. You do not need to be technical. You just need to know enough to ask the right questions.”
Related Terms
Training Data
The dataset used to teach an AI model patterns and knowledge during its initial training.
Data Augmentation
Creating variations of existing training data to increase dataset size and improve model performance.
Bias in AI
When an AI system produces unfair or skewed results because of imbalances in its training data or design.
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Related Terms
Training Data
The dataset used to teach an AI model patterns and knowledge during its initial training.
Bias in AI
When an AI system produces unfair or skewed results because of imbalances in its training data or design.
Data Augmentation
Creating variations of existing training data to increase dataset size and improve model performance.
Large Language Model (LLM)
An AI system trained on massive amounts of text that can understand and generate human language.
Transformer
A type of AI architecture that processes text by paying attention to relationships between all words at once, rather...
Attention Mechanism
A technique that lets AI models focus on the most relevant parts of the input when generating output.