Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Kit is a new MLOps tool (FOSS) that lets data scientist and devops folks use their preferred tools for creating, collaborating, and deploying models.
What is this tool for?
Kit packages models, data sets, and everything else used in ML development into a parsable oci-compliant file type. This makes handoffs easy between teams and allows devops folks to use the tools they use for application code.
What's the difference between this tool and similar ones?
Docker files are the most common alternative. Unlike Dockerfiles, Kitfiles are a modular package - pull just a part of the ModelKit, like the model or dataset, or pull the whole package with one simple command.
Storing ModelKits in your organization’s registry provides a history of meaningful state changes for auditing. ModelKits are immutable so are perfect for a secure bill-of-materials (SBOM) initiative.
Anyone who agrees with this pull request could submit an Approve review to it.