The dataset used to teach a machine learning model how to recognize patterns.
Why it matters:
- High-quality, diverse training data produces better, more accurate AI.
- Biased training data creates biased AI outputs.
Pro tip: “Garbage in, garbage out” applies strongly to AI.
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