In this video I explain what is a transformer in machine learning.

I provide answers to the following questions:
Can you explain what is a transformer and why it is so important for machine learning?
Is Chat GPT using transformers?

In summary:
Transformer is a type of neural network architecture.
The key innovation of the transformer is the self-attention mechanism, which allows the model to attend to different parts of the input sequence when making predictions. This is in contrast to traditional recurrent neural networks (RNNs) which process the input sequence sequentially, and convolutional neural networks (CNNs) which apply filters across the entire input.

The script for this video was written my ChatGPT.