ConferenceCall 2024 02 28: Difference between revisions
Ontolog Forum
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* 12:35 - 13:05 '''[[JohnSowa|John Sowa]]''' ''Without Ontology, LLMs 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. | ** 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. | ||
** [https://bit.ly/3uHQv10 Slides] | |||
* 13:05 - 13:30 Discussion | * 13:05 - 13:30 Discussion | ||
Revision as of 16:29, 28 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
Agenda
- 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.
- Slides
- 13:05 - 13:30 Discussion
Conference Call Information
- 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
The unabbreviated URL is: https://us02web.zoom.us/j/87630453240?pwd=YVYvZHRpelVqSkM5QlJ4aGJrbmZzQT09
Participants
Discussion
Resources
Previous Meetings
| Session | |
|---|---|
| ConferenceCall 2024 02 21 | Overview |
| ConferenceCall 2023 11 15 | Synthesis |
| ConferenceCall 2023 11 08 | Broader thoughts |
| ... further results | |
Next Meetings
| 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 | |