Why LLM predictions are dangerous for Finance?
https://dev.to/pvgomes/why-llm-predictions-are-dangerous-for-finance-j2i
Thats right, prediction are not the same as calculations, and LLMs don’t calculate, they predict the next word. Stanford’s HELM report shows GPT-4 hits 90%+ accuracy on math tasks. But 90% accuracy in financial calculations means 1 in 10…
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GPT-4 hits 90%+ accuracy on math tasks
How many Bs in blueberry? 🤷♂️
- LLMs are not appropriate for any use case.
- What does this have to do with Clojure?
I’m impressed by 90% accuracy for math. I thought it would be much lower. Still, useless if it’s not 100%.
This is why tool use exists? They are adept at using the tools correctly to do math. Literally developing automations at $work with agents and tools to do credit analysis from financial reports.
