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this post was submitted on 11 Feb 2024
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They didn't. They used LLMs.
Edit: to everyone saying that LLMs "are chat bots". I know it seems that way to the layperson and how it's often explain, but it's not true.
Which are chat bots.
A chat bot can be an LLM, but an LLM is not inherently a chat bot.
A glorified chatbot, in other words.
In other words, you don't really really know what LLMs are.
If one is feeling cynical; humans are chatbots in shoes.
One can only investigate their own consciousness, so we can't outrule chatbots are also having some subjective experience 🙃
I might as well suppose the same of
grep
then.I don't know if I love or hate your comment. (Yes, you're right, shut up.) Well played, Internet stranger.
What do you think large language model means? If you want desicion making, you should train a model on data relevant to said desicion making. ^
This is like being confused as to why a hammer does a shit job of driving screws.
Not a chat bot, because that's not what they are. And saying so is both reductive and wholly incorrect.
Partly true. There's more to it than throwing domain specific data at the training set.
That's what the "language" part of "Large Language Model" means. It processes, predicts and generates language. You can omit the chat part if you want, but it's still a text prompt to text response generator. The chat part just feeds it back the last couple messages for context. It doesn't understand anything.
Language does not mean "text". It's not "Large Text Generator". The core definition of the word language is "communication".
An LLM isn't (always) trained exclusively on text. And even those that are become greater than the raw sum of its parts. What that means is that the model can learn context not in the raw text itself.
Partially true. There's more to it though.
And neither does antivirus, but it still does its job.