You shouldn't skimp on your design phase?
blog.saitamasolutions.com2 pointsby samzer0 comments
- Real-time tracking of parameters and metrics
- Realtime charts for experiment metrics at epoch level
- Code used for the experiment
- Experiment comparison
- Collaborate and share experiments with team members
- Python objects storage such as data objects and model
objects which can be used pulled for other experiments
- Storage of test and validation images for computer vision
use cases. Useful for post experiment forensics of deep
learning models
- Server based solution with user registration and
authentication
The realistic scenario for a well functioning organization is not to replace their entire DevOps team with AI agents and then realize the hard reality that their entire tech infra is on fire but to actually use these as a tool that makes their best DevOps person more efficient and make their DevOps resources much more leaner. This increases the productivity for the same cost. Even though this sounds grim for the future of work, this is what I feel is going to happen.