How to automate the data labeling process?
Labeling data is the biggest bottleneck in our process. We want to move towards active learning or some form of weak supervision. How do you integrate these into an agile MLOps system? Does the labeli...
How to handle distributed training in an agile pipeline?
Our datasets are getting huge, and single-node training is no longer an option. How do we incorporate distributed training into our automated pipelines without adding massive complexity? Is it better ...
What is the best way to handle batch inference for large models?
We have models that take a long time to run and cannot be served in real-time. We are looking at a batch inference strategy. How do we fit this into an agile pipeline? Does it require different CI/CD ...
How to design a feedback loop for continuous model improvement?
The core of agile MLOps seems to be the feedback loop. Once our model is in production, how do we systematically collect user feedback or ground truth to feed back into the training data? I am not loo...
How to test models with synthetic data?
We cannot always get real production data for our testing pipeline because of privacy reasons. Is it common to use synthetic data for unit testing models? How do you ensure the synthetic data is reali...
What is the best way to handle library updates in production?
We are constantly getting blocked by library updates (e.g., PyTorch, Scikit-learn). Upgrading often breaks our training scripts or our production models. In an agile setup, what is the best policy? Sh...
How should I handle feature drift in an automated deployment pipeline?
We have a stable training pipeline, but our production models start degrading within weeks due to feature drift. Since we are moving toward an agile deployment model, I need a way to integrate drift d...
What is the best way to handle large datasets in CI/CD?
We have massive datasets and our current CI/CD process is hitting a wall trying to pull them for testing. How do large organizations handle this? Do they use data snapshots, synthetic data, or some so...
What is the best way to handle file uploads?
I need to build a robust file upload component. How do I handle the progress tracking? Should I create a dedicated service that manages the multipart request, or should I handle the upload directly in...
How to organize shared UI components?
We have a library of shared UI components like buttons and inputs. How should we structure this? Should it be its own repo (monorepo) or just a folder in the main app? I want to make sure it stays iso...
