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10: Generative AI – Adapting LLMs with Parameter-Efficient Fine-Tuning

11.0K views· 156 likes· 77:43· Jan 7, 2026

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MIT 15.773 Hands-On Deep Learning Spring 2024 Instructor: Rama Ramakrishnan View the complete course: https://ocw.mit.edu/courses/15-773-hands-on-deep-learning-spring-2024 YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP60YyhMjYmXuVmX562QcClSp Addresses Generative Pretrained Transformers (GPTs) version differences and nuances of training data, instruction tuning, and adapting base language learning models (LLMs). License: Creative Commons BY-NC-SAMore information at https://ocw.mit.edu/termsMore courses at https://ocw.mit.eduSupport OCW at http://ow.ly/a1If50zVRlQ We encourage constructive comments and discussion on OCW’s YouTube and other social media channels. Personal attacks, hate speech, trolling, and inappropriate comments are not allowed and may be removed. More details at https://ocw.mit.edu/comments.

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