Likewise, instruct the AI to break the word down into letters one per line first, and then they get it right more often. I think that’s the point the post is trying to make.
The letter counting issue is actually a fundamental problem of whole-word or subword-tokenization that’s had an obvious solution since ~2016, and i don’t get why commercial AI won’t implement a solution. Probably because it’s a lot of training code complexity (but not much compute) for solving a very small problem.
>>> "blueberry".count('B') 0Likewise, instruct the AI to break the word down into letters one per line first, and then they get it right more often. I think that’s the point the post is trying to make.
The letter counting issue is actually a fundamental problem of whole-word or subword-tokenization that’s had an obvious solution since ~2016, and i don’t get why commercial AI won’t implement a solution. Probably because it’s a lot of training code complexity (but not much compute) for solving a very small problem.