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[-] gelberhut@lemdro.id 8 points 1 year ago

Can one suggest a good explation why? The model is trained and stays "as is". So why? Does opensi uses users rating (thumb up/down) for fine tuning or what?

[-] foggy@lemmy.world 10 points 1 year ago

AI trains on available content.

The new content since AI contai s a lot of AI - created content.

It's learning from its own lack of fully understood reality, which is degrading its own understanding of reality.

[-] gelberhut@lemdro.id 10 points 1 year ago

GPT is a pretrained model, "pretrained" is part of the name. It assumed to be static.

[-] foggy@lemmy.world 4 points 1 year ago

There is no gpt5, and gpt4 gets constant updates, so it's a bit of a misnomer at this point in its lifespan.

[-] FaceDeer@kbin.social 3 points 1 year ago

It's possible to apply a layer of fine-tuning "on top" of the base pretrained model. I'm sure OpenAI has been doing that a lot, and including ever more "don't run through puddles and splash pedestrians" restrictions that are making it harder and harder for the model to think.

[-] magic_lobster_party@kbin.social 8 points 1 year ago

They don’t want it to say dumb things, so they train it to say “I’m sorry, I cannot do that” to different prompts. This has been known to degrade the quality of the model for quite some time, so this is probably the likely reason.

[-] Homespore165@sh.itjust.works 4 points 1 year ago

more users means less computing power per user

[-] gelberhut@lemdro.id 1 points 1 year ago

Hm... Probably. I read something about chatgpt tricks in this area. Theoretically, this should impact web chat, not Impact API (where you pay for usage of the model).

this post was submitted on 19 Jul 2023
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