MIT 6.S191: Introduction to Deep Learning - MIT 6.S191 (2025): Large Language Models (Liquid AI)

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70.5 hours of video
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deep learning mit artificial intelligence neural networks machine learning 6s191 6.s191 mit deep learning ava soleimany soleimany alexander amini amini

Full Transcript

MIT Introduction to Deep Learning 6.S191: Lecture 8 Large Language Models Lecturer: Maxime Labonne (Liquid AI) Maxime Labonne is the Head of Post-Training at Liquid AI. He has made significant contributions to the open-source community, including the LLM Course, tutorials on fine-tuning, tools such as LLM AutoEval, and several state-of-the-art models like NeuralDaredevil. He is the author of the best-selling books “LLM Engineer’s Handbook” and “Hands-On Graph Neural Networks Using Python”. For all lectures, slides, and lab materials: http://introtodeeplearning.com Subscribe to stay up to date with new deep learning lectures at MIT, or follow us @MITDeepLearning on Twitter and Instagram to stay fully-connected!!

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