Great video as always. You really helped me a lot with my master thesis. This video series is yet another important building piece in dealing with audio machine learning projects. If I may add a comment. The Mnist dataset is a good example to demonstrate the deployment, but since the channel is called "the sound of ai" it would also be very interesting to see how to deploy a model that classifies an audio stream in real time.
Hey! I've been trying to work on deploying some complex models and wondered if you had any experience in industry tools that do this well The scenario is essentially I have two models that need to be run, but one of the features they use is a completely separate model. Is there any industry standard software you know of to make that easier to do in a more scalable way? And if I eventually add more models that then depend potentially on those?
ML Ops is such a rarely taught topic in academia. Thank you so much for this explanation. I hope there is more to come!
Indeed. Most of the time, academia is focused only on the research side. Productisation is mainly done in the industry.
Good summary of all different ML "framework" (if we may agree on that) to deploy a ML model. Thank for that 🙏
Thank you very much! This was the most helpful resource I've found on the topic!
Thanks very much for the detailed explanation. Really helpful👏
Almost starting as a data science consultant and I really need this video series!!! Comes at perfect time
Nice! Good luck with the new enterprise :)
this is very helpful
thanks
Great video as always. You really helped me a lot with my master thesis. This video series is yet another important building piece in dealing with audio machine learning projects. If I may add a comment. The Mnist dataset is a good example to demonstrate the deployment, but since the channel is called "the sound of ai" it would also be very interesting to see how to deploy a model that classifies an audio stream in real time.
Thank you Max. I will cover audio classification in realtime in a future series. I'd like to keep this mini-series is domain agnostic.
Hello, great video, well explained, i would like to know if BentoML can be used to Deploy MeshSegNet models?
Can you make a comparison video using ZenML and other MLOps tools?
Hey! I've been trying to work on deploying some complex models and wondered if you had any experience in industry tools that do this well
The scenario is essentially I have two models that need to be run, but one of the features they use is a completely separate model. Is there any industry standard software you know of to make that easier to do in a more scalable way? And if I eventually add more models that then depend potentially on those?
Great ...
How are you? my question is different, please guide me I need to develop model language for Local language for speech recognation!
Great Explanation..From where to get code files?
Thank you so you amazing , videos , could you please make a vedio about how to use CHATGPT in programming
I recently created a voice assistant for ChatGPT. Check it out!
I was really hoping if someone in the audio domain talks about deploying an speech model and give some pointers on ML Observability.
I won't be talking specifically about audio models in the next video. However, the same steps apply also in audio processing.
Currently I use torchserve
That's a good option!