PM4Py.LLM: a Comprehensive Module for Implementing PM on LLMs

TL;DR

This paper introduces PM4Py.LLM, a comprehensive Python module that integrates process mining techniques with large language models, addressing key challenges like privacy, hallucinations, and context limitations.

Contribution

It presents a new module that extends pm4py for process mining on LLMs, highlighting implementation strategies and challenges.

Findings

Identifies privacy, hallucinations, and context window as key challenges.

Demonstrates integration of process mining with LLMs in pm4py.

Provides insights into current paradigms and implementation issues.

Abstract

pm4py is a process mining library for Python implementing several process mining (PM) artifacts and algorithms. It also offers methods to integrate PM with large language models (LLMs). This paper examines how the current paradigms of PM on LLM are implemented in pm4py, identifying challenges such as privacy, hallucinations, and the context window limit.