ZenML serves mainly as an abstraction over your ML pipelines (orchestrator + others), while Hopsworks is an AI data lake that provides a feature store, model registry and ML serving.
There are some overlaps, as the model registry, but almost any ML service provides that. To conclude, they are quite different tools. Here, we used GitHub Actions to orchestrate the ML pipelines out of simplicity.
Amazing introduction to the 4 stage design Paul! 💪
Thanks, man! Love it. It's crazy how similar it is to a RAG system.
This was such a great resource, Thanks for all the hard work.
Excited that you liked it! In future weeks, we will dig into the implementation details of the personalized recommender
Waiting for the next lessons
Thank you so much, Paul! You have no idea how valuable this series is to me.
Excited to hear that, Fabian. Enjoy!
Hi Paul, I want to know will zenML platform serve the same purpose as Hopsworks, if yes why did you opt for Hopsworks
ZenML serves mainly as an abstraction over your ML pipelines (orchestrator + others), while Hopsworks is an AI data lake that provides a feature store, model registry and ML serving.
There are some overlaps, as the model registry, but almost any ML service provides that. To conclude, they are quite different tools. Here, we used GitHub Actions to orchestrate the ML pipelines out of simplicity.
Thanks for the clarifying.