Skill Level: Advanced

This is the third session as part of the training series.

 

Session #3: Knowledge Graphs with ChatGPT

ChatGPT seems fascinating? With ChatGPT causing a revolution as it did, it became a natural candidate for exploration in terms of how LLM (large language models) can match up to human abilities when it comes to cypher queries and Graph Database representation. In this session, we will do analysis of the OpenAI engine to produce meaningful output from the text in the form of a knowledge graph using Neo4j. Ganesh will also talk through a couple of simple but engaging use cases in this regard.  




Ganesh Srinivasan
Security Practice Head, Cognizant

Ganesh Srinivasan leads the Security Practice at Cognizant. With loads of experience around correlation of information and prioritization of data, he took to Neo4j for some of his personal projects, to better appreciate how intuitive the graph db could be for both information storage and representation.



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