The Mechanics of Modern AI

Describe the architecture of a neural network, including neurons, layers, weights, and activation functions.

Explain the training loop: forward propagation for predictions, loss functions to quantify error, and backpropagation to update weights.

Explain the architecture of a Convolutional Neural Network (CNN) and its primary use in computer vision.

Explain the concept of word embeddings and the Transformer architecture in Natural Language Processing (NLP).

Describe the significance of the Transformer model for the development of Large Language Models (LLMs).

Analyze real-world AI applications and their societal impact in sectors like healthcare, finance, and governance.