INSTRUCTIONS TO WIN DOCKER SWAG: Take a picture of yourself watching the video (or just a screenshot), post it on Twitter mentioning @Docker & @patloeber & @tiangolo to win SWAG! The first 30 people will be selected. There are still some left :)
just wanted to drop you a line and say thanks for this amazing tutorial on building an AI app with FastAPI and Docker! I was blown away by how easy it was to follow along and actually build something that works. I'm definitely going to be sharing this with my friends who are also interested in AI and machine learning. Your explanations were super clear and concise, and the tips you shared really helped me understand some of the more complex concepts.
Really cool feature of Run in interactive window. Thanks a lot for its introduction. This feature is also available by right clicking on a line/selection. VS code is the best.
great tutorial and lots of good information. Im familiar with torch and transformers but it was nice to combine them with a new technology to me, like fastAPI
🐍 Explore the world of Python for Research Work with this amazing playlist! 📚🔬 Don't forget to hit the 'Like' button 👍 and 'Subscribe' for more awesome content! 🤩 Check it out: ua-cam.com/play/PLIDulLqbs-nnr758jI13Cm5RmsOTkOk7t.html
Thanks Patrick for another great Tutorial. Would you be able to make a tutorial on using streamlit to create an end user web app to fix any wrong prediction to retrain the model. For example let say we have a machine learning model capable of predicting the house rent for homes. the user should be able to upload a csv of list of home with key attributes and the output should be a grid view with all the rent predictions. If there is an incorrect prediction user should be able to type in the correct rent which will be used to retrain the model. If you make a course on Udemy will be first to purchase it 😀
INSTRUCTIONS TO WIN DOCKER SWAG: Take a picture of yourself watching the video (or just a screenshot), post it on Twitter mentioning @Docker & @patloeber & @tiangolo to win SWAG! The first 30 people will be selected. There are still some left :)
twitter.com/extensiveweb/status/1697311129846882759?t=fjMJ4WxIymAa5L1qnUJMOA&s=19
just wanted to drop you a line and say thanks for this amazing tutorial on building an AI
app with FastAPI and Docker! I was blown away by how easy it was to follow along and actually build something that
works.
I'm definitely going to be sharing this with my friends who are also interested in AI and machine learning. Your
explanations were super clear and concise, and the tips you shared really helped me understand some of the more
complex concepts.
Pat! This is awesome. Also having Sebastian was a nice touch. Much love to you guys.
Thank you!!
Your videos are my go-to resource whenever I get stuck on a coding problem. Thank you!
You just remembered me ti make the FastAPI video! Great one btw!
Your videos are a constant source of inspiration for me. Please keep them coming!
Awesome 🎉🎉 please more in depth courses with Fastapi ❤
and with Sebastian! This format is the best.
Really cool feature of Run in interactive window. Thanks a lot for its introduction. This feature is also available by right clicking on a line/selection. VS code is the best.
Thanks a ton for the interactive mode trick!
AI let's goooooo
My notifications are enabled 😊
great tutorial and lots of good information. Im familiar with torch and transformers but it was nice to combine them with a new technology to me, like fastAPI
Thank you!
Awesome video! thank you guys for the great intuition and tips.
wow docker init make life so much easier
Great talk with Sebastian! 👏
🐍 Explore the world of Python for Research Work with this amazing playlist! 📚🔬 Don't forget to hit the 'Like' button 👍 and 'Subscribe' for more awesome content! 🤩 Check it out: ua-cam.com/play/PLIDulLqbs-nnr758jI13Cm5RmsOTkOk7t.html
Very interesting. What is the Rust for?
I learned a lot. Thank you.
Nice fast course! I am just amazed that the Docker image has 10GB :D
this was very helpfull and educational thank you for this video and this collaboration was greate 😇
Glad you enjoyed it!
Awesome session. Hi Sebastian, when can we expect FastAPI docs update with SQLModel?
Thanks folks!
Thank you so much Sebastian🙏
thank you so much guys you helped me alot
You are a huge help to us!
Best content 👍🏻
Amazing! Patrick and Sebastian, how do we thank you for this?
Hi hi, glad if you enjoyed the session!
Thanks Patrick for another great Tutorial. Would you be able to make a tutorial on using streamlit to create an end user web app to fix any wrong prediction to retrain the model. For example let say we have a machine learning model capable of predicting the house rent for homes. the user should be able to upload a csv of list of home with key attributes and the output should be a grid view with all the rent predictions. If there is an incorrect prediction user should be able to type in the correct rent which will be used to retrain the model. If you make a course on Udemy will be first to purchase it 😀
Good video, but I didn't get the part where you use Rust compiler, I mean why it was required?
The transformers library needed it for the installation. At least on my system I was getting error messages without Rust
Are there any development templates created for fastapi? What a standard FastAPI application should look like?
Thanks for this. However, would have been worth mentioning the amount of time needed to build the model. It took me 4hrs to build the image!
Oh, didn't know it took that long :( It only took around 1 minute on my machine (2020 MacBook M1)
great clip, thx!
Does the Jupyter interactive window work, if I am using virtual env for the project?
I tried to do 'docker init' and it gave me
(docker: 'init' is not a docker command.
See 'docker --help')
error. What did i missed?
so like for me everything went good but now i want to deploy my fastapi to aws lambda how do i it ?
can you tell me it's for my university project.
Thank you very much for this video.
Glad you liked it!
vscode tells me to install ipykernel to run python code interactively, did you install it in the project venv?
yup, it'll always ask you this the first time
thanks
Amazing
New subscriber from Bharat / India . Are you from?
Thanks.
cooles video
what's the total duration of the course.?
30 minutes
❤
Thanks a lot! great
Just it's not fullHD \:
For recording
👍Nice...how to deploy it for free