Large language model (llm) powered framework for use with code used with additive and/or subtractive manufacturing

A device comprising:

• a) at least one processor;
• and
• b) a non-transitory storage system storing processor-executable instructions which, when executed by the at least one processor, cause the at least one processor to perform a computer-implemented method comprising:
• 1) receiving, for each of a plurality of three-dimensional objects, a multimodal information set including
• A) a three-dimensional model representation of the three-dimensional object,
• B) human language information describing the three-dimensional object in human-understandable words, and
• C) machine-level code for controlling a three-dimensional printer to print the three-dimensional object;
• 2) defining a data structure entry by grouping, for each of the information sets,
• A) the three-dimensional model representation of the three-dimensional object,
• B) the human language information describing the three-dimensional object in human-understandable words, and
• C) the machine-level code for controlling a three-dimensional printer to print the three-dimensional object;
• and
• 3) training a machine learning network using the multimodal information sets, to perform at least one of
• (i) debugging machine-level code for controlling a three-dimensional printer,
• (ii) verifying machine-level code for controlling a three-dimensional printer,
• (iii) translating machine-level code from a first flavor to a second flavor,
• (iv) generating machine-level code for controlling a three-dimensional printer from at least one of a three-dimensional model representation of the three-dimensional object, and/or human language information describing the three-dimensional object in human-understandable words,
• (v) generating a human-understandable explanation of machine-level code for controlling a three-dimensional printer, from the machine-level code for controlling a three-dimensional printer, or
• (vi) generating a three-dimensional model of an object from machine level-code for controlling a three-dimensional printer,
• to generate a trained machine learning network.

A computer-readable non-transitory storage system storing processor-executable instructions which, when executed by at least one processor, cause the at least one processor to perform a computer-implemented method comprising:

• a) receiving, for each of a plurality of three-dimensional objects, a multimodal information set including
• 1) a three-dimensional model representation of the three-dimensional object,
• 2) human language information describing the three-dimensional object in human-understandable words, and
• 3) machine-level code for controlling a three-dimensional printer to print the three-dimensional object;
• b) defining a data structure entry by grouping, for each of the information sets,
• 1) the three-dimensional model representation of the three-dimensional object,
• 2) the human language information describing the three-dimensional object in human-understandable words, and
• 3) the machine-level code for controlling a three-dimensional printer to print the three-dimensional object;
• and
• c) training a machine learning network using the multimodal information sets, to perform at least one of
• (A) debugging machine-level code for controlling a three-dimensional printer,
• (B) verifying machine-level code for controlling a three-dimensional printer,
• (C) translating machine-level code from a first flavor to a second flavor,
• (D) generating machine-level code for controlling a three-dimensional printer from at least one of (i) a three-dimensional model representation of the three-dimensional object, and/or (ii) human language information describing the three-dimensional object in human-understandable words,
• (E) generating a human-understandable explanation of machine-level code for controlling a three-dimensional printer, from the machine-level code for controlling a three-dimensional printer, or
• (F) generating a three-dimensional model of an object from machine level-code for controlling a three-dimensional printer,
• to generate a trained machine learning network.