4 ms·
Just like driving cars were "just around the corner", I highly doubt 1-2 years will fix the issues, that "last x%" is exponentially more difficult.
by joeltt 4y ago
Just like driving cars were "just around the corner", I highly doubt 1-2 years will fix the issues, that "last x%" is exponentially more difficult.
- BobbyJo 4y agoI think there is a greater tolerance for error here though. Cars haven't made it yet because the assumption about allowable errors was wrong. Turns out it isn't "good enough" for self-driving cars to be safer than humans.
- snek_case 4y agoI don't think it's necessarily as hard as you think. Can't do math? Teach the model to use an external mathematical expression evaluator to do math. Makes up inaccurate information? Teach it to query an external knowledge base. How hard to implement do you think that is? They're already working on it.
- pwinnski 4y ago> How hard to implement do you think that is? Very, very, very, very hard.
- williamcotton 4y agoIt's not that hard: https://github.com/williamcotton/empirical-philosophy/blob/main/articles/from-prompt-alchemy-to-prompt-engineering-an-introduction-to-analytic-agumentation.md https://github.com/williamcotton/empirical-philosophy/blob/m...
- mijail 4y ago@williamcotton - saw this the other day in the prompt engineering post - I enjoyed it. Sent you a message on your site but something looks broken. If you use linkedin I requested to connect.
- williamcotton 4y agoDoh, I’ll look into that contact form! I’ll check my LinkedIn now. I’m glad you found it interesting!