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Unleashing the Synergy of LLMs and Knowledge Graphs

Webinar

Large language models (LLMs) can be incredibly transformative for surfacing company data & insights. However, the path to enriching a company's knowledge base with LLMs remains uncharted.

This webinar explores the interaction between LLMs and Knowledge Graphs (KG). We first demonstrate how LLMs can transform unstructured text into a well-formed Knowledge Graph by extracting entities and relationships from a dataset. We discuss the added value of storing data within a KG and how companies can leverage them.

Next, we delve into how LLM applications can interact seamlessly with the structured knowledge within a knowledge graph. In this session, with the help of a business use case, we explore how this knowledge graph empowers LLM applications with enhanced capabilities and intelligent insights. 

In the practical part of the session, we will present a business use case for building an LLM-based Question answering system using GPT-3.5-turbo and prompting it with a knowledge graph.

This webinar promises to illuminate how LLM applications can interact intelligently with structured knowledge for semantic understanding and reasoning.

Key Takeaways:

  • How LLMs can unlock the potential of building organizational knowledge graphs.
  • How knowledge graphs can further guide LLMs’ reasoning capabilities.
  • How to use pretrained models for translating natural language queries to SPARQL queries on top of company knowledge graphs

Additional Resources

Access the demo notebook

Slides

[COURSE] Introduction to Network Analysis in Python

[TUTORIAL] Social Network Analysis in Python

Gert De Geyter Headshot
Gert De Geyter

Machine Learning Lead at Deloitte

Somayeh Koohbor Headshot
Somayeh Koohbor

Senior Data Scientist at Deloitte

Dr. Somayeh Koohbor is a senior Data Scientist in Deloitte US consulting department
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