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All the steps to finetune models are contained within our example argo workflow templates. The relationships between each step in the workflow is very fragile which makes it difficult to “customize” with things like custom datasets.
The artifact API (and related tools under the hood) aims to add another layer of abstraction and handle the connections between each of these steps, while also giving users an easy-to-interact-with entry point.
The scope of this ticket is to investigate and design out what an Artifact Manager API would look like, what the work that will be required to implement it will be, and have a discussion around the prioritization of this project.
All the steps to finetune models are contained within our example argo workflow templates. The relationships between each step in the workflow is very fragile which makes it difficult to “customize” with things like custom datasets.
The artifact API (and related tools under the hood) aims to add another layer of abstraction and handle the connections between each of these steps, while also giving users an easy-to-interact-with entry point.
The scope of this ticket is to investigate and design out what an Artifact Manager API would look like, what the work that will be required to implement it will be, and have a discussion around the prioritization of this project.
This work is being tracked in this Word doc.
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