How does AI learn from data?
AI learns from data through a process called machine learning, where algorithms identify patterns and make predictions.
Can you explain the difference between supervised and unsupervised learning?
Sure! Supervised learning uses labeled data to train models, while unsupervised learning finds patterns in unlabeled data.
What role does neural networks play in AI learning?
Neural networks are a key component of deep learning, mimicking the human brain to process complex data and improve learning.
How do AI models improve over time?
AI models improve through continuous training on new data, allowing them to adapt and enhance their accuracy.
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