What are the latest trends in AI training?
Some of the latest trends include transfer learning, federated learning, and the use of synthetic data.
Can you explain transfer learning?
Transfer learning involves taking a pre-trained model and fine-tuning it on a new, but related task, which saves time and resources.
What is federated learning?
Federated learning allows models to be trained across multiple devices without sharing raw data, enhancing privacy.
How is synthetic data generated?
Synthetic data is generated using algorithms to create data that mimics real-world data, often used for training models.
What are the benefits of using synthetic data?
Benefits include increased privacy, reduced costs, and the ability to create large datasets for rare events.
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