Why large language models hallucinate

[John F Sowa]

The following talk has good explanations plus examples.  https://www.youtube.com/watch?v=cfqtFvWOfg0 . 

I recommend it.  And 6.5K of other viewers also recommend it.

John

[Sjir Nijssen]

Hi John,

 

Thank you very much for the link.

Very helpful.

I enjoyed the educational quality.

It is quite a performance in 10 minutes.

 

I would welcome as a next step a more elaborate proof of some of the allegations.

 

I also would welcome a description of the four dimensions of structured knowledge of an LLM, an approach as used in the latest version of law analysis in the Netherlands. In short:

1. Definitions of the TERMS used in the data definitions, derivation rules and processes,
2. Data definitions using a model representation that can hold a representative set of data records that can be used in the validation of the data model and expressed in broadly understood facts, such that this can be used in a multidisciplinary team,
3. The descriptions of complexity-free derivation rules and
4. The description of complexity-free processes.

 

Have you seen any talk on youtube on this?

If you would have time to respond to the above, I would greatly appreciate the effort.

 

Kind regards

 

Sjir Nijssen

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[Kingsley Idehen]

Hi John,

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I now refer to LLMs as Langulators :)

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Regards,

Kingsley Idehen	      
Founder & CEO 
OpenLink Software   
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