A day in the life of a machine learning engineer at a small startup from Brisbane, Australia called Nutrify. Nutrify uses computer vision to make learning about and tracking whole foods fun. Links from video: Download Nutrify on the App Store - https://apple.co/4ahM7Wc Nutrify website - https://www.nutrify.app What we learned from year of building LLMs part II — https://www.oreilly.com/radar/what-we-learned-from-a-year-of-building-with-llms-part-ii/ Apple Overton System for Machine Learning — https://machinelearning.apple.com/research/overton Copying Tesla’s Data Engine for Food Images — https://youtu.be/02b-1spzLzc?si=p7HBZ3dLaq6NGC57 My ML recommended resources — https://www.mrdbourke.com/ml-resources/ 2020 Deep Learning PC Part List — https://au.pcpartpicker.com/list/8KXXjp 2024 Deep Learning PC Part List — https://au.pcpartpicker.com/list/xBvRdH Other links: Download Nutrify (my startup) - https://nutrify.app Learn AI/ML (beginner-friendly course) - https://dbourke.link/ZTMMLcourse Learn TensorFlow - https://dbourke.link/ZTMTFcourse Learn PyTorch - https://dbourke.link/ZTMPyTorch Read my novel Charlie Walks - https://www.charliewalks.com Connect elsewhere: Web - https://dbourke.link/web X/Twitter - https://www.twitter.com/mrdbourke Twitch - https://www.twitch.tv/mrdbourke ArXiv channel (past streams) - https://dbourke.link/archive-channel Get email updates on my work - https://dbourke.link/newsletter Timestamps: 0:00 - intro 1:08 - morning session/breakfast 1:41 - reading 2:15 - data labelling 2:40 - model training 4:19 - bug fixing 4:34 - lunchtime 6:09 - afternoon session 6:51 - what we've been working on (for the day) 8:36 - ideas for the future 9:28 - Nutrify compute cluster in a closet 11:00 - Nvidia GPU speed comparison 12:00 - Nutrify's data flywheel 13:14 - end of day 14:34 - bloopers