What are the most effective training methods for AI models today?
Some effective training methods include supervised learning, unsupervised learning, reinforcement learning, and transfer learning.
Can you explain supervised learning in more detail?
Sure! Supervised learning involves training a model on a labeled dataset, where the input data is paired with the correct output.
What are some challenges faced in training AI models?
Challenges include overfitting, underfitting, data quality, and the need for large datasets.
How does transfer learning work?
Transfer learning allows a model trained on one task to be adapted for a different but related task, saving time and resources.
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