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How Knowledge Graphs Help Generative AI Models Answer Questions

Toronto Machine Learning Series (TMLS) via YouTube

Overview

Watch a 31-minute conference talk from the Toronto Machine Learning Series where AWS Senior Solutions Architect Michael Havey explores how Knowledge Graphs enhance Generative AI's question-answering capabilities. Discover the Retrieval Augmented Generation (RAG) pattern and learn how incorporating Knowledge Graphs can improve accuracy when integrating organizational data with Large Language Models (LLMs). Explore the fundamental concepts of Knowledge Graphs, their historical significance in database querying, and their modern application in Graph RAG. Through practical examples from finance and healthcare sectors, understand how relationship-based data structures can enhance AI-powered information retrieval and response generation.

Syllabus

Ask the Graph: How Knowledge Graphs Helps Generative AI Models Answer Questions

Taught by

Toronto Machine Learning Series (TMLS)

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