Systems and methods for generating and using training data

A computer-implemented method for forming a training dataset for a machine learning model, the method comprising:

• receiving a first intent object associated with a first design snapshot and a second design snapshot;
• receiving a second intent object associated with the second design snapshot and a third design snapshot;
• determining a third intent object based on a combination of the first and second intent objects;
• and
• associating with the third intent object the first design snapshot and the third design snapshot, wherein each of the first, second and third intent objects and their associated snapshots are included in the training dataset.

A computer-implemented method, comprising:

• forming a training dataset for a machine learning model by:
• a) receiving an intent object and two or more design snapshots associated with the intent object, wherein the intent object indicates an intended design outcome and the two or more design snapshots include at least a first design snapshot indicating an initial state of a design and a second design snapshot indicating a state of the design after the intended design outcome is achieved;
• and
• b) generating a training datapoint including the intent object and the two or more design snapshots.