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* '''Kurt Cagle''', Author of [https://thecaglereport.com/ The Cagle Report]
* '''Kurt Cagle''', Author of [https://thecaglereport.com/ The Cagle Report]
** '''Title:''' Complementary Thinking: Language Models, Ontologies and Knowledge Graphs
** '''Title:''' Complementary Thinking: Language Models, Ontologies and Knowledge Graphs
** '''Abstract:''' LLM, ontology and knowledge graph technologies are evolving rapidly. It is important to view these technologies from multiple perspectives and understand how those perspectives are shifting.
** '''Abstract:''' With the advent of Retrieval Augmented Generators (RAGs), a more or less standardized workflow has become available for integrating large language models such as ChatGPT with knowledge graphs. This in turn has raised the question about the nature of ontologies associated with LLMs and how knowledge graphs can be structured and queried to make integrated data access possible between the two types of systems. In this talk, Editor and AI Explorer Kurt Cagle of The Cagle Report looks at this process and discusses how they affect both knowledge portals and ontology design.
* '''Tony Seale''', Knowledge graph architect and thought leader ([https://www.linkedin.com/in/tonyseale/ LinkedIn])
* '''Tony Seale''', Knowledge graph architect and thought leader ([https://www.linkedin.com/in/tonyseale/ LinkedIn])
** '''Title:''' How Ontologies Can Unlock the Potential of Large Language Models for Business  
** '''Title:''' How Ontologies Can Unlock the Potential of Large Language Models for Business  

Revision as of 21:30, 15 October 2023

Session A look across the industry, Part 1
Duration 1 hour
Date/Time 18 Oct 2023 16:00 GMT
9:00am PDT/12:00pm EDT
4:00pm GMT/5:00pm CST
Convener Andrea Westerinen and Mike Bennett

Ontology Summit 2024 A look across the industry, Part 1

Agenda

  • Kurt Cagle, Author of The Cagle Report
    • Title: Complementary Thinking: Language Models, Ontologies and Knowledge Graphs
    • Abstract: With the advent of Retrieval Augmented Generators (RAGs), a more or less standardized workflow has become available for integrating large language models such as ChatGPT with knowledge graphs. This in turn has raised the question about the nature of ontologies associated with LLMs and how knowledge graphs can be structured and queried to make integrated data access possible between the two types of systems. In this talk, Editor and AI Explorer Kurt Cagle of The Cagle Report looks at this process and discusses how they affect both knowledge portals and ontology design.
  • Tony Seale, Knowledge graph architect and thought leader (LinkedIn)
    • Title: How Ontologies Can Unlock the Potential of Large Language Models for Business
    • Abstract: LLMs have remarkable capabilities; they can craft letters, analyze data, orchestrate workflows, generate code, and much more. Companies such as Google, Apple, Amazon, Meta, and Microsoft are all investing heavily in this technology. Everything indicates that LLMs have enormous disruptive potential. However, there is a problem: they can hallucinate, and for any serious business, that is a deal-breaker. This is where ontologies can come in. In combination with Knowledge Graphs, they can place guardrails around the LLMs, thus allowing organizations to harness the capabilities of LLMs within the framework of a safely controlled ontological structure.

Conference Call Information

  • Date: Wednesday, 18 October 2023
  • Start Time: 9:00am PDT / 12:00pm EDT / 6:00pm CEST / 5:00pm BST / 1600 UTC
  • Expected Call Duration: 1 hour
  • Video Conference URL: https://bit.ly/48lM0Ik
    • Conference ID: 876 3045 3240
    • Passcode: 464312

The unabbreviated URL is: https://us02web.zoom.us/j/87630453240?pwd=YVYvZHRpelVqSkM5QlJ4aGJrbmZzQT09

Participants

Discussion

Resources

Previous Meetings

 Session
ConferenceCall 2023 10 11Setting the stage
ConferenceCall 2023 10 04Overview

Next Meetings

 Session
ConferenceCall 2023 10 25A look across the industry, Part 2
ConferenceCall 2023 11 01Demos of information extraction via hybrid systems
ConferenceCall 2023 11 08Broader thoughts
... further results