23
GPT-4 Understands
(danangell.com)
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
this post was submitted on 16 Oct 2023
23 points (61.9% liked)
Technology
34994 readers
246 users here now
This is the official technology community of Lemmy.ml for all news related to creation and use of technology, and to facilitate civil, meaningful discussion around it.
Ask in DM before posting product reviews or ads. All such posts otherwise are subject to removal.
Rules:
1: All Lemmy rules apply
2: Do not post low effort posts
3: NEVER post naziped*gore stuff
4: Always post article URLs or their archived version URLs as sources, NOT screenshots. Help the blind users.
5: personal rants of Big Tech CEOs like Elon Musk are unwelcome (does not include posts about their companies affecting wide range of people)
6: no advertisement posts unless verified as legitimate and non-exploitative/non-consumerist
7: crypto related posts, unless essential, are disallowed
founded 5 years ago
MODERATORS
While whether LLMs are intelligent or not is still hotly debated. I think the author's thoughts are very interesting.
LLMs can't do any of those things though...
If no one teaches them how to speak a dead language, they won't be able to translate it. LLMs require a vast corpus of language data to train on and, for bilingual translations, an actual Rosetta stone (usually the same work appearing in multiple languages).
This problem is obviously exacerbated quite a bit with animals, who, definitionally, speak no human language and have very different cognitive structures to humans. It is entirely unclear if their communications can even be called language at all. LLMs are not magic and cannot render into human speech something that was never speech to begin with.
The whole article is just sensationalism that doesn't begin to understand what LLMs are or what they're capable of.
What about preserving languages that are close to extinct, but still have language data available? Can LLMs help in this case?
Preservation only but not likely any better than a linguistic historian.
But it gets tricky because LLMs only function on HUGE sets of data. LLMs are nothing more than complicated probability engines. Give it the question "What color is the sky?" and the math extracted from the massive databases that it has says the highest probability answer is "Blue". It doesn't actually KNOW the answer it just knows the probabilities of different words.
Without large amounts of data on the dying language current gen LLM's won't be accurate or able to generate reliable answers. Shoot... LLMs can barely generate reliable answers with the massive datasets they currently have.
I strongly recommend anyone even remotely interested in LLMs to read this interactive article:
https://ig.ft.com/generative-ai/
This is a great article, thanks for linking it!
Yeah, that would be a good usage of an LLM!