Why is ongoing training important for AI systems?
Ongoing training is crucial for AI systems to adapt to new data, improve accuracy, and maintain relevance.
What happens if AI systems aren't regularly trained?
Without regular training, AI can become outdated, leading to poor performance and inaccurate predictions.
How often should AI systems be retrained?
The frequency of retraining depends on the application, but it's generally recommended to retrain regularly, such as quarterly.
Can ongoing training help with bias in AI?
Yes, ongoing training can help identify and mitigate biases by incorporating diverse data and feedback.
What are some methods for ongoing training?
Methods include supervised learning with new data, reinforcement learning, and transfer learning techniques.
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