Uniting Large Language Models and Knowledge Graphs for Enhanced Knowledge Representation

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10:40 - 11:10 | GEN AI & DATA SCIENCE THEATRE
THE PERFECT COUPLE: UNITING LARGE LANGUAGE MODELS AND KNOWLEDGE GRAPHS FOR ENHANCED KNOWLEDGE REPRESENTATION
WEDNESDAY 20 SEPTEMBER 2023
SPEAKER: KRISTOF NEYS, NEO4J

Large Language models are amazing but are also black-box models that often fail to capture and accurately represent factual knowledge. Knowledge graphs, by contrast, are structural knowledge models that explicitly represent knowledge and, indeed, allow us to detect implicit relationships. In this talk we will demonstrate how LLMs can be improved by Knowledge Graphs, and how LLM’s can augment Knowledge Graphs. A perfect couple!
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wow, this does get me excited about graph and LLM!

EmilioGagliardi
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Video Summary:
结合大型语言模型和知识图谱,以增强知识表示。

- 00:00
- 04:10
- 08:23
- 12:35
- 16:47
- 21:00 通过使用知识图谱进行基于大型语言模型的知识表示的优势
- 25:11 可以通过将文章转化为向量并进行语义搜索来增强知识表示。

junwu-hv
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a tutoriel of how this done would be amazing

bobbymcclane
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It would be nice to have a link to the slides....maybe with some way to link comment threads to each. I love3 the concept of NLP to the query language. I hate having to learn varying syntax for differing data structures implemented in competing products....I would love to have international standards for all common commands with knowledge bases which could each have linked (graphed) annotations for ongoing issues.

cemery
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Combining LLMs with decentralized/distributed knowledge graphs would be even better because it provides for greater optionality and prevents vendor lock in. Projects like Origin Trail are already doing this at scale with clients like the British Standards Institute.

AEVMU
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Great talk but one of the fundamental problems of neo4j is it's lack of scalability to actually handle large data. When your database grows into the hundreds of millions of nodes and relationships it becomes a nightmare to work in

DzZit