What are the differences between CNNs and Transformers in AI?
An example of an AI chatbot conversation about CNNs and Transformers in AI.
What are the main differences between CNNs and Transformers in AI?
CNNs (Convolutional Neural Networks) are primarily used for image processing, while Transformers excel in natural language processing.
Can you explain why Transformers are better for NLP tasks?
Transformers use self-attention mechanisms, allowing them to capture long-range dependencies in text, which CNNs struggle with.
Are there any scenarios where CNNs outperform Transformers?
Yes, CNNs are often more efficient for tasks like image classification and object detection due to their spatial hierarchies.
How do training times compare between the two?
Transformers generally require more data and longer training times compared to CNNs, especially for large models.
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