3 ms·
I tried some basic math and algo questions with both GPT-3.5 and GPT-4. I'm impressed how it can spit out the algorithm in words (obviously because of the pre-t
by sixtram 4y ago
I tried some basic math and algo questions with both GPT-3.5 and GPT-4. I'm impressed how it can spit out the algorithm in words (obviously because of the pre-training data), and how it then can't follow with the algorithm itself. For example, converting really large integer numbers to hexadecimal. Or comparing two big integers, it starts hallucinating numbers into it. It may be able to solve an SAT exam with a high score, but it seems you can pass an SAT exam even if you cannot compare two numbers.
He has huge problems with lists or counting. If you know more or less how LLMs work, it's not that difficult to formulate questions where it will start making mistakes, because in reality it can't run the algorithms, even if it spits out that it will.
- IIAOPSW 4y agoMore generally, it can't reason about any incidence structure. Doesn't matter if the underlying relation is mathematical or simple-logical. Ask it which trains go to Kings Cross you'll get a list of tube lines in London. Now one at a time ask it about the stops of each service in that list, more than a few will not have Kings Cross. Any scenario where things x are defined by their set of properties {y} and property y is defined by the set of things {x} which have that property.