This lecture from MIT's Introduction to Deep Learning (6.S191) features Maxime Labonne, Head of Post-Training at Liquid AI, presenting a comprehensive overview of Large Language Models. Discover the fundamentals and advanced concepts of LLMs from an expert who has contributed significantly to the open-source community through the LLM Course, fine-tuning tutorials, tools like LLM AutoEval, and state-of-the-art models such as NeuralDaredevil. Labonne, author of best-selling books "LLM Engineer's Handbook" and "Hands-On Graph Neural Networks Using Python," delivers valuable insights during this 68-minute session. Access all lectures, slides, and lab materials through the course website at introtodeeplearning.com, and follow @MITDeepLearning on Twitter and Instagram for updates on new deep learning lectures at MIT.