4 MLOps Lessons Learned from Bootstrapping an AI Startup (talk)
I gave a talk about MLOps lessoned learned from building my brother and I's startup Nutrify (a computer vision powered app to help people learn about food). The talk originally happened in the MLOps Learners Discord and was livestreamed to YouTube. I'm reposting my section here.
MLOps stands for "Machine Learning Operations" and includes all of the parts around a machine learning model. For example, evaluation, data storage, deployment and more.
Links:
Original Video (on MLOps Learners YouTube) — https://www.youtube.com/live/3e9YAdOp...
MLOps Learners Discord — / discord
My slides from the talk — https://www.dropbox.com/s/ufu6iat2lw0...
Designing Machine Learning Learning Systems Book by Chip Huyen — https://www.oreilly.com/library/view/...
Download Nutrify (app discussed in the talk) - https://nutrify.app
Other links:
Learn AI/ML (beginner-friendly course) - https://dbourke.link/ZTMMLcourse
Learn TensorFlow - https://dbourke.link/ZTMTFcourse
Learn PyTorch - https://dbourke.link/ZTMPyTorch
AI/ML courses/books I recommend - https://www.mrdbourke.com/ml-resources/
Read my novel Charlie Walks - https://www.charliewalks.com
Connect elsewhere:
Web - https://dbourke.link/web
Twitter - / mrdbourke
Twitch - / 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 - Talk start/founder intro
3:32 - What is Nutrify?
6:10 - Nutrify's current setup
8:44 - Nutrify demo
11:25 - How Nutrify works
12:56 - Lesson 0: Keep it simple (copy what works)
15:36 - Lesson 1: It's always about the data
17:21 - Lesson 2: Deploy and find out what's wrong
18:14 - Lesson 3: Model optimization matters
18:49 - Summary
19:10 - Q&A/Outro
