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Large Language Model (LLM) with a Knowledge Graph (KG) for a Question-Answer specific domain

by Mr Javier León (Laboratório BigData@UE)

Europe/Lisbon
138 (CLAV)

138

CLAV

Description

In this presentation, we will discuss two contemporary methods for representing human knowledge (or memory).
We present a step-by-step Question-Answer task that integrates a Large Language Model (LLM) with a Knowledge Graph (KG) for a specific domain.
The KG provides the LLM with specific context (such as a hospital or company), enabling the LLM to generate detailed and accurate domain-specific Outputs, without hallucinations.
To achieve this integration, we will cover fundamental concepts related to Knowledge Graphs, Large Language Models, and the UMLS database.
Finally, we will show how Python tools can be used to integrate the LLM and KG into a local application.

Organised by

VISTA Lab

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