4 ms·
> data and no meaningful dataset is 100% representative and 100% accurate IMHO And? What point are you trying to make here?
by fkyoureadthedoc 3y ago
> data and no meaningful dataset is 100% representative and 100% accurate IMHO
And? What point are you trying to make here?
- threeseed 3y agoPeople seem to think that LLMs are going to be this source of truth that everyone can rely on to give them the information they need. Which for certain use cases e.g. text based is fine because you can tolerate inaccuracies. But I have worked at highly regulated finance companies who aren't interested in LLMs at all. Because their business can't tolerate if your model returns a figure or calculation that is inaccurate.
- nasir 3y agoYour point is still not clear
- immibis 3y agoI bet LLMs help them pitch their MBS CDOs to shadow banks, though.
- mdekkers 3y agohttps://www.bloomberg.com/company/press/bloomberggpt-50-billion-parameter-llm-tuned-finance/ https://www.bloomberg.com/company/press/bloomberggpt-50-bill... lol You are picking out a specific use-case as an invalidation of a wide idea and concept. “This is thos _one thing_ an LLM cannot do for us so all of it is useless.
- elpakal 3y agoThat it will be inaccurate. A lot.