Demystifying AI: The Math, Models, and Magic Behind Machine Learning

Ever wondered what acronyms like RAG, GPT, or LLM actually mean? 🤔 In this talk, Rachel-Lee Nabors breaks down the core concepts behind deep learning — from perceptrons and neural networks to the math and ideas that make AI systems “think.” Perfect for both technical and non-technical audiences, this session uses clear explanations and vivid illustrations to make machine learning approachable, engaging, and even fun. What you’ll learn: The fundamentals of deep learning and neural networks What makes models like GPT and RAG work The fascinating history behind AI’s evolution Website → https://mlconference.ai/?loc=all Blog → https://mlconference.ai/blog/ FAQ → https://mlconference.ai/faq/ Newsletter → https://mlconference.ai/newsletter/ Bluesky → https://bsky.app/profile/mlcon.bsky.s... Linkedin →   / machine-learning-conference