What is Training Data?
The dataset used to teach an AI model patterns and knowledge during its initial training.
Why It Matters
The quality and diversity of training data directly determines how well an AI model performs.
Real-World Example
A language model trained on books, websites, and code learns to understand and generate many types of text.
“Understanding terms like Training 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
Fine-tuning
Adapting a pre-trained AI model to perform better on a specific task by training it on additional specialised data.
Bias in AI
When an AI system produces unfair or skewed results because of imbalances in its training data or design.
Synthetic Data
Artificially generated data used to train AI models when real data is scarce or sensitive.
Data Augmentation
Creating variations of existing training data to increase dataset size and improve model performance.
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Related Terms
Fine-tuning
Adapting a pre-trained AI model to perform better on a specific task by training it on additional specialised data.
Bias in AI
When an AI system produces unfair or skewed results because of imbalances in its training data or design.
Synthetic Data
Artificially generated data used to train AI models when real data is scarce or sensitive.
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...