What are the latest advancements in AI training techniques?
Recent advancements include transfer learning, reinforcement learning, and the use of large-scale datasets for training.
Can you explain transfer learning and how it works?
Transfer learning allows a model trained on one task to be adapted for another, reducing the need for large datasets.
What role do large-scale datasets play in AI training?
Large-scale datasets improve model accuracy and generalization by providing diverse examples for the AI to learn from.
Are there any ethical concerns with these advancements?
Yes, ethical concerns include data privacy, bias in training data, and the potential for misuse of AI technologies.
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