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Large Language Models for Explainable Dynamic Digital Twins

This is the official repository of the paper "Large Language Models for Explainable Decisions in Dynamic Digital Twins":

Nan Zhang, Christian Vergara-Marcillo, Georgios Diamantopoulos, Jingran Shen, Nikos Tziritas, Rami Bahsoon, and Georgios Theodoropoulos, Large Language Models for Explainable Decisions in Dynamic Digital Twins

The source code can be found in dddas2024.ipynb

The knowledge base used for RAG (retrieval augmented generation) is dddas_paper.tex, which does not contain information on the scenarios used in the code.

The following tools and models are used:

LangChain
Chroma
OpenAI gpt-4-turbo-2024–04–09 
OpenAI text-embedding-ada-002

LLM enabled explainability in a DDDAS/DDT system

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