this post was submitted on 28 Jan 2025
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[–] [email protected] 1 points 21 hours ago (2 children)

It doesn't search the internet for cats, it is pre-trained on a large set of labelled images and learns how to predict images from labels. The fact that there are lots of cats (most of which have tails) and not many examples of things "with no tail" is pretty much why it doesn't work, though.

[–] [email protected] 1 points 5 hours ago

Unrelated to the convo but for those who'd like a visual on how LLM's work: https://bbycroft.net/llm

[–] [email protected] 0 points 21 hours ago (1 children)

And where did it happen to find all those pictures of cats?

[–] [email protected] 1 points 19 hours ago (1 children)

It's not the "where" specifically I'm correcting, it's the "when." The model is trained, then the query is run against the trained model. The query doesn't involve any kind of internet search.

[–] [email protected] -1 points 19 hours ago (1 children)

And I care about "how" it works and "what" data it uses because I don't have to walk on eggshells to preserve the sanctity of an autocomplete software

You need to curb your pathetic ego and really think hard about how feeding the open internet to an ML program with a LLM slapped onto it is actually any more useful than the sum of its parts.

[–] [email protected] 2 points 16 hours ago

Dawg you're unhinged