What are the latest trends in deep learning?
Some of the latest trends in deep learning include transformer models, self-supervised learning, and advancements in generative models.
Can you explain what transformer models are?
Transformer models are a type of neural network architecture that uses self-attention mechanisms to process data, particularly effective in natural language processing.
What is self-supervised learning?
Self-supervised learning is a technique where the model learns from unlabeled data by generating its own labels, improving efficiency.
How are generative models being used today?
Generative models are used in various applications, including image synthesis, text generation, and even drug discovery.
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