Packaging AI/ML models as conda packages
Summary
The article explains how AI/ML models can be packaged as conda packages to improve versioning, locking, dependency management, channels, caching, and traceability. It provides practical recipe examples, improvements like environment-variable integration and multi-variant builds, and emphasizes supply chain security with attestations and Sigstore, making it a practical guide for teams deploying models in conda-based workflows.