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Is this saying, we can use LLM to understand non-language signal? Sounds fun!
by qtwhat 2y ago
Is this saying, we can use LLM to understand non-language signal?
Sounds fun!
- jsemrau 2y agoGraph Reasoning exists.
- viraptor 2y agoYes, those systems can understand a bit of math. As long as they have memory and can compare values, it should work. But it's weird that they would seriously try that given https://github.com/NX-AI/xlstm https://github.com/NX-AI/xlstm already exists. I mean, it's cool to know that it works, but I don't get why would they invest any more time trying to improve the results.
- lmpdev 2y agoWhy not? Whether through analogy or an actual underlying isomorphism between the mechanisms underpinning language and other domains, I don’t see a reason LLMs can’t occasionally have insights into non-language problems Is it better than other methods? No. Is it efficient? Absolutely not. I don’t work with LLMs but I think a lot of the HN’s users are prematurely skeptical of the potential low-hanging fruit across many domains that can be explored with these new, convenient but invariably suboptimal tools
- cqqxo4zV46cp 2y ago[flagged]
- pydry 2y agoBecause they're not a magic box that spits intelligence, they're a reflection of their training data which will not contain these signals.
- nerdponx 2y ago"LLMs" are really general-purpose sequence models. No reason it can't work, but so far results have been mixed in practice.