Leveraging Structured Knowledge to Automatically Detect Hallucination in Large Language Models 🔺 🔻 Large Language Models has sparked a revolution in AI’s… | 25 comments on LinkedIn

Sometimes the words “taxonomy” and “ontology” are used interchangeably, and while they are closely related, they are not the same thing. They are both considered kinds of knowledge organization systems to support information and knowledge management.

Semantics friends and colleagues, Announcing the release of a new front-end application development library for RDF. Most of us have heard time and again how…

(This post & prompt technique was inspired by a conversation with Nicky Clarke and a recent post by Kurt Cagle, Rethinking Hypergraphs.) Building prompts for ultra-large context windows requires a complete reimagining of how prompts are created.

OccO: Occupation Ontology. Contribute to Occupation-Ontology/OccO development by creating an account on GitHub.

Copyright 2024. Kurt Cagle When you look at your company, you likely see things - people, clients or customers, products, processes, roles, revenue, etc.

From 5th to 9th of February, I had the privilege to participate to a seminar entitled "Are Knowledge Graphs Ready for the Real World? Challenges and Perspective" at the Dagstuhl Schlosse. It was my third Dagstuhl experience, so I was ready for a very intense week of work and discussion and I have to

KGLens: Unlocking Hidden Connections: Knowledge Graphs Reveal What Models Don't Know …. Evaluating AI Knowledge Just Got Smarter … How do we know if AI…

Concepts form the very core of all our work on representing, accumulating, and manipulating knowledge with algorithms. Without them, we would simply have no framework to even start thinking about knowledge.

Symbolic Artificial Intelligence, Semantic Web State of the art The Semantic Web project was formulated at the end of the 20th century and is based on the availability of inference engines and onto…

Entity-based SEO is the future. Discover the art of crafting search-relevant content through expert entity extraction and linking techniques.

Yes, Structured Data Markup = E-E-A-T fairy dust, or so the popular answer goes. Complete nonsense, because magic does not compute! The real story is...

Although I have of course heard this question more often in recent months than in all the years before, it is really just a reiteration of the question of all questions, which is probably the most fundamental question of all for AI: How much human (or symbolic AI) does statistical AI need? With ever

Microsoft is transforming retrieval-augmented generation with GraphRAG, using LLM-generated knowledge graphs to significantly improve Q&A when analyzing complex information and consistently outperforming baseline RAG. Get the details.

Semantic Web and Labeled Property Graphs have their use-cases, but complex, real-time business operations is not one of them

A semantic layer for end-to-end, intelligent automation

And this is the amazing prof. Maurizio Lenzerini on the benefits of using ontologies for data integration, captured when showing the long journey of knowledge…

Leveraging LLMs for Causal Reasoning: Why Knowledge and Algorithms are Key 🌳 Causal reasoning — the capacity to understand cause-effect relationships and…

Ontologies and Knowledge Graphs offer a way to connect embedding vectors to structured knowledge, enhancing their meaning and explainability. Let's delve into… | 25 comments on LinkedIn

Information developers, technical writers, and knowledge management professionals face enormous challenges that are often not clear to their "customers", and not even to their managers. In a nutshell, they put significant effort into organizing and managing enormous collections of information – in t

A Step-by-step Walkthrough with GenAI-Stack and OpenAI

We explore the 3 types of recursive retrieval — Page-Based, Information-Centric, and Concept-Centric retrieval

There is no intelligence without knowledge. Despite the incredible power of Large Language Models (LLM), they still significantly struggle…

Ontologies are the backbone of the Semantic Web bridging the gap between human and machine understanding. They define the concepts and relationships that… | 29 comments on LinkedIn

How to Combine RAG, Reinforcement Learning, and Knowledge Graphs for More Robust AI Agents ⭕ Recent months have seen rapid progress in developing large…

Schloss Dagstuhl - Leibniz-Zentrum für Informatik GmbH (LZI), Wadern

With this demo, we wanted to demonstrate 3 key powerful applications of knowledge graph in RAG, and demonstrate how it can improve RAG…