Machine learning model automated bug identification

A system for automated bug identification using machine learning models, comprising:

• one or more processors;
• and
• a memory comprising instructions that, when executed by the one or more processors, cause the system to:
• instruct a machine learning model, via a prompt, to generate an output according to instructions contained in the prompt;
• provide the machine learning model, via the prompt, one or more transcripts, wherein each transcript of the one or more transcripts is associated with a set of user communication data;
• instruct the machine learning model, via the prompt, to parse the one or more transcripts and create a classification for each given transcript of the one or more transcripts based on one or more attributes of the given transcript;
• instruct the machine learning model, via the prompt, to provide the classification for each given transcript of the one or more transcripts as the output in a structured object format;
• receive the output from the machine learning model in response to the prompt;
• and
• perform an action based on the output.

A non-transitory computer readable medium comprising instructions that, when executed by one or more processors of a computing system, cause the computing system to:

• instruct a machine learning model, via a prompt, to generate an output according to instructions contained in the prompt;
• provide the machine learning model, via the prompt, one or more transcripts, wherein each transcript of the one or more transcripts is associated with a set of user communication data;
• instruct the machine learning model, via the prompt, to parse the one or more transcripts and create a classification for each given transcript of the one or more transcripts based on one or more attributes of the given transcript;
• instruct the machine learning model, via the prompt, to provide the classification for each given transcript of the one or more transcripts as the output in a structured object format;
• receive the output from the machine learning model in response to the prompt;
• and
• perform an action based on the output.