ConferenceCall 2023 10 18: Difference between revisions
Ontolog Forum
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** '''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. | ** '''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. | ||
** [https://bit.ly/46A3EH2 Slides] | ** [https://bit.ly/46A3EH2 Slides] | ||
* [https://bit.ly/46DJyvo Video Recording] | |||
== Conference Call Information == | == Conference Call Information == |
Revision as of 18:32, 19 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.
- Slides
- 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.
- Slides
- Video Recording
Conference Call Information
- Date: Wednesday, 18 October 2023
- Start Time: 9:00am PDT / 12:00pm EDT / 6:00pm CEST / 5:00pm BST / 1600 UTC
- ref: World Clock
- 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 | |
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ConferenceCall 2023 10 11 | Setting the stage |
ConferenceCall 2023 10 04 | Overview |
Next Meetings
Session | |
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ConferenceCall 2023 10 25 | A look across the industry, Part 2 |
ConferenceCall 2023 11 01 | Demos of information extraction via hybrid systems |
ConferenceCall 2023 11 08 | Broader thoughts |
... further results |