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 CZcams. 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 CZcams) - czcams.com/users/live3e9YAdOp...
MLOps Learners Discord - / discord
My slides from the talk - www.dropbox.com/s/ufu6iat2lw0...
Designing Machine Learning Learning Systems Book by Chip Huyen - www.oreilly.com/library/view/...
Download Nutrify (app discussed in the talk) - nutrify.app
Other links:
Learn AI/ML (beginner-friendly course) - dbourke.link/ZTMMLcourse
Learn TensorFlow - dbourke.link/ZTMTFcourse
Learn PyTorch - dbourke.link/ZTMPyTorch
AI/ML courses/books I recommend - www.mrdbourke.com/ml-resources/
Read my novel Charlie Walks - www.charliewalks.com
Connect elsewhere:
Web - dbourke.link/web
Twitter - / mrdbourke
Twitch - / mrdbourke
ArXiv channel (past streams) - dbourke.link/archive-channel
Get email updates on my work - 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

[@mrdbourke]

Looks like my big head got in the way of some of the slides. My bad! Full slides link in description.

[@MuhammadHamza-pg8dd]

Hi Daniel, I am new to Artificial intelligence world, kindly upate your Machine learning Roadmap for 2024. Thanks

[@misterbeach8826]

Dear Daniel. Don't waste your time on such bad startup ideas. Nobody needs a food recognition app. As a tip from a pro founder. I saw skilled mobile devs some 10 years ago coming up and trying one horrible startup idea after another. Recognizing generic food is easily and faster done by any adult unless it is a very rare fruit. The current AI hype will be over in 10 years, at least at the current level, so don't waste your time with bad app ideas. If you lack very good ideas, simply hire at a large corp for a while--no shame in that.

[@yogeshhasabe4931]

Great presentation Daniel 💯Keep them coming !!

[@gonpaul]

Wonderful! Good luck with the app, a cool idea

[@amitkumarchejara6042]

Always excited for a new video by Daniel Bourke!!

[@JustDONEItRN]

Thanks

[@lipe5331]

Sounds very interesting

[@irshaadbahemia666]

Hello Daniel Bourke, do you sometimes write machine learning algorithms from scratch instead of importing machine learning packages like Scikit-learn ,Keras ,Tensorflow?

[@playlistmusic3217]

hi sir I have I question. do have any idea how to create lstm models that can convert spoken commands to PowerShell commands??

[@roshanbhatta1652]

Hello daniel,
Pls update the new ML/aai roadmap video.

[@JustaKhorne]

Hey Daniel, I love your content. Do you think it's possible to freelance as a machine learning engineer?