WorkflowLearner FAQs

Question 1

How do I install and use WorkflowLearner?

Accepted Answer

First, clone the GitHub repository. Then install the dependencies using `pip install -r requirements.txt`.  Use `python parse_mht.py path/to/your/file.mht` to parse the MHT files and `python learn_workflow.py path/to/parsed/data.json` to train the LLM.

Question 2

What is WorkflowLearner?

Accepted Answer

WorkflowLearner is a tool that teaches Large Language Models (LLMs) to understand and replicate user workflows. It parses MHT files generated by PSR.exe (Problem Steps Recorder) to extract workflow information.

Question 3

What programming language is WorkflowLearner written in?

Accepted Answer

WorkflowLearner is primarily written in Python, and the provided scripts for parsing MHT files and training LLMs are Python scripts.

Question 4

What are the benefits of using WorkflowLearner?

Accepted Answer

WorkflowLearner enables LLMs to automate tasks by learning from recorded user workflows. This can improve efficiency, reduce errors, and streamline processes. It leverages easily created recordings from a native windows tool.

Question 5

What is PSR.exe and why is it used?

Accepted Answer

PSR.exe (Problem Steps Recorder) is a Windows tool that records user actions. WorkflowLearner uses the MHT files generated by PSR.exe as input to train LLMs on specific workflows.

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