Bridging the Gap: Integrating Knowledge Graphs and Large Language Models

12:00 - 12:30
AI & MLOPS THEATRE
BRIDGING THE GAP: INTEGRATING KNOWLEDGE GRAPHS AND LARGE LANGUAGE MODELS
WEDNESDAY 20 SEPTEMBER 2023
SPEAKER JORG SCHAD, ARANGODB
This talk explores the integration of Knowledge Graphs (KGs) and Large Language Models (LLM) to harness their combined power for improved natural language understanding. By leveraging KGs' structured knowledge and language models' text comprehension abilities, we can leverage the domain-specific-and potentially sensitive-data together with the general knowledge of LLMs.
We also examine how language models can enhance KGs through knowledge extraction and refinement. The integration of these technologies presents opportunities in various domains, from question-answering to chatbots, fostering more intelligent and context-aware applications. Don’t miss it!

[@engage-meta]

nice!

[@MEvansMusic]

how is entity discovery done? Are you doing Unsupervised clustering in the embedding space? and then labeling the clusters?