What is AI training and how does it work?
AI training involves teaching a model using data so it can make predictions or decisions. It uses algorithms to learn patterns.
What types of data are used for training AI?
AI can be trained on various data types, including text, images, audio, and structured data, depending on the application.
How long does it take to train an AI model?
The training duration varies widely based on the model complexity, data size, and computational resources, ranging from hours to weeks.
Can AI learn from new data after it's trained?
Yes, AI can be updated with new data through a process called retraining, allowing it to improve and adapt over time.
What are some challenges in AI training?
Challenges include data quality, overfitting, computational costs, and ensuring the model generalizes well to new data.
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