Yes, that’s why this is a meta-harness in that Omnigent is a layer above. It’s a single pane for you to work across multiple sessions across multiple providers and harnesses. And you can manage this from your mobile,…
As noted in an earlier comment, I think there is a false equivalence between end-to-end MLOps platforms like MLflow and tools for experiment tracking. The project looks like a solid tracking solution for individual data…
Could you provide context on why SQLite would replace MLflow? From the standpoint of model tracking (record and query experiments), projects (package code for reproducibility on any platform), deploy models in multiple…
Yes, that’s why this is a meta-harness in that Omnigent is a layer above. It’s a single pane for you to work across multiple sessions across multiple providers and harnesses. And you can manage this from your mobile,…
As noted in an earlier comment, I think there is a false equivalence between end-to-end MLOps platforms like MLflow and tools for experiment tracking. The project looks like a solid tracking solution for individual data…
Could you provide context on why SQLite would replace MLflow? From the standpoint of model tracking (record and query experiments), projects (package code for reproducibility on any platform), deploy models in multiple…