This talk will offer an introduction to Large Language Models (LLMs) and an overview of their foundations and capabilities. We’ll cover how they are built and trained, from transformers and attention to large-scale pretraining and fine-tuning. Practical aspects like prompting, applications, and key challenges such as bias and safety will also be highlighted. Attendees will gain a clear and accessible mental model of LLMs and how to use them effectively.