Large Language Model: Difference between revisions
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{{DiscussionThread | {{DiscussionThread | ||
|Synopsis=Large language models pick the most frequent series of text after scanning as much text online available to them as possible. | |Synopsis=Large language models pick the most frequent series of text after scanning as much text online available to them as possible. | ||
|Analysis=Median definition fro OED | |Analysis=Median definition fro OED 3.1784–Statistics. A quantity, term, or value that is the midpoint of a set of values, such that the variable has an equal probability of falling above or below it; the middle term of a discrete series arranged in order of magnitude (or, if there is no middle term, the mean of the middle two terms) | ||
|Thread=Sensory | |||
While the ontology is not identical there seems to be a correlation. | |||
This to me means that if we limited AI to our most frequent response we are by definition in the ‘middle’, mediocre, and will not see significant progress. | |||
|Thread=Sensory Scale, 3 Kingdoms of Life | |||
|EditDate=2024-07-11 | |EditDate=2024-07-11 | ||
}} | }} | ||
Latest revision as of 20:38, 11 July 2024
| EditDate | 2024-07-11 |
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Related Threads: Sensory Scale, 3 Kingdoms of Life
Large language models pick the most frequent series of text after scanning as much text online available to them as possible.
Median definition fro OED 3.1784–Statistics. A quantity, term, or value that is the midpoint of a set of values, such that the variable has an equal probability of falling above or below it; the middle term of a discrete series arranged in order of magnitude (or, if there is no middle term, the mean of the middle two terms)
While the ontology is not identical there seems to be a correlation.
This to me means that if we limited AI to our most frequent response we are by definition in the ‘middle’, mediocre, and will not see significant progress.Web References https://johnnywunder.info/mywiki/index.php/Large Language Model