KGL-DIRECT t1_jdrwttu wrote on March 26, 2023 at 6:37 PM

A funny thing here: I've just asked ChatGPT 3.5 to give me quantities for a log-normal distribution. I needed the data to practice Excel functions with my students. It is for a simulation where students are analyzing the defective inventory of a production line... There are 20 different failure modes and 250 components.

ChatGPT assigned quantities to the different failure modes and gave me a perfect distribution but when I added up the quantities, it was way more than I was originally asked for. (Like 4000 components.) GPT got the number of failure modes right, so I had to calculate some percentages to get the data I originally requested.

So yeah, basic maths was hard for GPT but it could draw a perfect log-normal distribution graph easily. It also reminded me, that the data is strictly for educational purposes. Like I would fake a financial report with the outputs or something... (English is not my native language, I hope my story is clear.)

KGL-DIRECT t1_jdrxsfk wrote on March 26, 2023 at 6:44 PM

Oh and I also asked GPT to give me 500 randomly generated upper case strings using latin characters and numbers and I asked it to always use a specific text for the first 8 characters. I performed the task by requesting 50 strigs at a time and GPT almost always overshot it and generated 51 to 54 strings for each prompt. One time it was short, it generated only 49.

RadioFreeAmerika OP t1_jduhe5e wrote on March 27, 2023 at 8:14 AM

Thanks for your reply! And what an interesting use case you present. Haven't thought about generating example data for courses yet, but it makes total sense. Just have to check for inconsistencies with the maths I guess. And after having played around with it some more yesterday evening, the model seems to have improved in that regard in the last few days.