(1) The problem is not clearly defined. Does the word need to be thematically related to the topic? (As far as I can tell, "Donut" isn't thematically related to document understanding.) Maybe you could say it's a nice, optional bonus if it's related.
(2) The best solution would be good at two things: (A) satisfying constraints and (B) creativity. ChatGPT is unlikely to be good at A, and a non-AI algorithm that just finds valid words can't do B.
Regarding #1, if people don't all have the same idea of the problem, they're not going to agree on the solution.
Regarding #2, maybe a combined solution would be best. Generate all allowable words, then feed them to ChatGPT and have it say which ones are thematically good.
Tbh I think gpt4 shines at this. People's requirements will be different, in weird ways. Duckdb things are all duck related. Rust is related to crabs. Your project may all be sweets related. It might be serious or fun. Maybe you want a name easy to draw.
These are hard to encode.
Instead I just asked "Make them more fun, and related to literary characters", then Muppets and awkward ones based on Harry potter which it described as "certainly a unique request". It's faster than getting a word list related to that. And they are frankly great - better than I'd come up with given much longer.
This problem is great for llms. It's language, works well with a back and forth discussing good and bad options, has no well defined output requirements but is easy to explain to a person, has a human in the loop and has almost zero cost if it's wrong.
> QUIXOTE: Quality Unstructured Information Extraction and Organization Through End-to-end transformer
(1) The problem is not clearly defined. Does the word need to be thematically related to the topic? (As far as I can tell, "Donut" isn't thematically related to document understanding.) Maybe you could say it's a nice, optional bonus if it's related.
(2) The best solution would be good at two things: (A) satisfying constraints and (B) creativity. ChatGPT is unlikely to be good at A, and a non-AI algorithm that just finds valid words can't do B.
Regarding #1, if people don't all have the same idea of the problem, they're not going to agree on the solution.
Regarding #2, maybe a combined solution would be best. Generate all allowable words, then feed them to ChatGPT and have it say which ones are thematically good.