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#freelancerย โ€ขย 6d

*MIT. Stanford. DeepMind. Berkeley. UMich.* ๐Ÿš€ *5 playlists that teach AI better than most Masters degrees* ๐ŸŽ“ *Here's the AI Engineering Mix:* 1๏ธโƒฃ MIT 6.S191 - Intro to Deep Learning: โ†ณ Fast-track tour of modern Deep Learning. Master everything from the basics of DL to the latest applications https://youtube.com/playlist?list=PLtBw6njQRU-rwp5__7C0oIVt26ZgjG9NI&si 2๏ธโƒฃNeural Networks: Zero to Hero: โ†ณ Learn from Karpathy as he walks you through backpropping to building your own GPT from scratch https://m.youtube.com/playlist?list=PLAqhIrjkxbuWI23v9cThsA9GvCAUhRvKZ 3๏ธโƒฃ Stanford CS336 - Language Models: โ†ณ Deeply understand data preproc, LLM building blocks, evals, scaling, and reasoning https://youtube.com/playlist?list=PLoROMvodv4rOY23Y0BoGoBGgQ1zmU_MT_&si=lPGRF-ugOVd0LT2l 4๏ธโƒฃ UMich Deep Learning for CV: https://youtube.com/playlist?list=PL5-TkQAfAZFbzxjBHtzdVCWE0Zbhomg7r&si=bqQqKP_Bse4Njn_0 5๏ธโƒฃ Stanford CS236 - Generative AI:

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