Guides ยท Technology
ML Model Versioning Basics
Track models like code
Versioning ML models means storing model artifacts with linked code commits, data snapshots, parameters, and metrics so you can reproduce, compare, and roll back deployments reliably.
- model versioning
- mlops
- artifacts
- reproducibility
- experiments
Track Artifacts
Store models with code hash, data version, params, and metrics.
Compare
Log experiments; keep lineage between training and serving versions.
Deploy Safely
Promote only validated versions; keep rollback-ready artifacts.
Keep Exploring
Guides
API Basics
APIs let software request data or actions from other systems through defined endpoints and responses.
Comparison
RAM vs Storage
RAM handles what your device is actively working on, while storage keeps apps, files, and system data available over time.
How it works
Global Positioning System
GPS uses timing signals from satellites to calculate a receiver's position on Earth.
What it is
Blockchain
A blockchain is a distributed ledger secured by cryptography and consensus nodes.