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With this, perhaps it can be generalized to any model.
So generate staging layer creates SQL files which just select all columns from underlying table
Subsequent command enters a GUI where functions can be applied and output visually inspected, GPT annotator output can be cached for duration of process unless re-requested since it applies to the root column
The text was updated successfully, but these errors were encountered:
With this, perhaps it can be generalized to any model.
So generate staging layer creates SQL files which just select all columns from underlying table
Subsequent command enters a GUI where functions can be applied and output visually inspected, GPT annotator output can be cached for duration of process unless re-requested since it applies to the root column
The text was updated successfully, but these errors were encountered: