#1 Ch 1: Beyond the Chatbot - Anatomy of LLM
Learn how large language models go beyond generating answers to understand and predict the world through probability.
Comprehensive study guide and lecture series on AI Literacy.
Learn how large language models go beyond generating answers to understand and predict the world through probability.
Understand the differences between supervised, unsupervised, and reinforcement learning. Learn about overfitting, the bias-variance tradeoff, and why splitting data into training, validation, and test sets is essential.
Understand how artificial neural networks work, the principles behind backpropagation and gradient descent, and the differences between CNNs, RNNs, and Transformers. Learn why deep learning sparked a revolution in image recognition and natural language processing.
What you must know to use AI critically. From hallucination and data bias to privacy violations and AI deepfakes — a clear-eyed look at the dark side of AI.
A comprehensive wrap-up of the AI Literacy series. Covers advanced prompt engineering techniques, the division of labor between humans and AI, and career strategies for staying competitive in the age of AI.