Revision as of 19:50, 27 February 2024

Session	Foundations and Architectures
Duration	1.5 hour
Date/Time	28 Feb 2024 17:00 GMT
	9:00am PST/12:00pm EST
	5:00pm GMT/6:00pm CET
Convener	Ravi Sharma

Ontology Summit 2024 Foundations and Architectures

12:00 - 12:05 Introduction Ravi Sharma
12:05 - 12:35 Gary Marcus
12:35 - 13:05 John Sowa Without Ontology, LLMs are clueless
- Abstract: Large Language Models (LLMs) are a powerful technology for processing natural languages. But the results are sometimes good and sometimes disastrous. The methods are excellent for translation, useful for search, but unreliable in generating new combinations. Any results found or generated by LLMs are abductions (hypotheses) that must be tested by deduction. An ontology of the subject matter is necessary for the test. With a good ontology, errors, hallucinations, and deliberate lies can be detected and avoided.
13:05 - 13:30 Discussion

Date: Wednesday, 28 February 2024
Start Time: 9:00am PST / 12:00pm EST / 6:00pm CET / 5:00pm GMT / 1700 UTC
- ref: World Clock
Expected Call Duration: 1.5 hour
Video Conference URL: https://bit.ly/48lM0Ik
- Conference ID: 876 3045 3240
- Passcode: 464312

	Session
ConferenceCall 2024 03 06	LLMs, Ontologies and KGs
ConferenceCall 2024 03 13	LLMs, Ontologies and KGs
ConferenceCall 2024 03 20	Foundations and Architectures
... further results

@@ Line 23: / Line 23: @@
 * 12:00 - 12:05 Introduction '''[[RaviSharma|Ravi Sharma]]'''
 * 12:05 - 12:35 '''Gary Marcus'''
-* 12:35 - 13:05 '''[[JohnSowa|John Sowa]]''' ''LLMs Without Ontology Are Clueless''
+* 12:35 - 13:05 '''[[JohnSowa|John Sowa]]''' ''Without Ontology, LLMs are clueless''
+** Abstract:  Large Language Models (LLMs) are a powerful technology for processing natural languages.  But the results are sometimes good and sometimes disastrous.  The methods are excellent for translation, useful for search, but unreliable in generating new combinations.  Any results found or generated by LLMs are abductions (hypotheses) that must be tested by deduction.  An ontology of the subject matter is necessary for the test.  With a good ontology, errors, hallucinations, and deliberate lies can be detected and avoided.
 * 13:05 - 13:30 Discussion