What are some common AI model architectures?

What are some common AI model architectures?

Some common AI model architectures include Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Transformers.

Can you explain how CNNs work?

CNNs are designed to process structured grid data like images. They use convolutional layers to automatically learn spatial hierarchies.

What about RNNs? How do they differ from CNNs?

RNNs are designed for sequential data, making them ideal for tasks like language modeling. They maintain a hidden state to capture information from previous inputs.

What are Transformers and why are they popular?

Transformers use self-attention mechanisms to process data in parallel, making them highly efficient for tasks like translation and text generation.

Can you give examples of applications for these architectures?

Sure! CNNs are used in image recognition, RNNs in speech recognition, and Transformers in natural language processing tasks.