Grindr, an online dating app having LGBTQ+ people, has existed lengthier (est
“Create a great comma split tabular databases from buyers investigation out of a beneficial dating application into following the articles: first-name, last term, age, area, condition, gender, sexual orientation, welfare, number of wants, level of fits, date Bucha hot girl consumer joined the new app, additionally the owner’s rating of the application between step 1 and you may 5”
GPT-3 failed to provide us with people column headers and you may gave you a dining table with each-almost every other line with zero pointers and just 4 rows off real consumer data. In addition gave all of us three columns off hobbies whenever we have been just finding you to, however, to get fair to help you GPT-3, i performed have fun with an excellent plural. All of that are told you, the information it performed develop for us isn’t really 1 / 2 of crappy – labels and sexual orientations song towards best genders, the new cities they provided all of us are also inside their best claims, plus the schedules fall contained in this a suitable variety.
We hope when we offer GPT-step three some examples it will most useful learn just what our company is looking getting. Unfortunately, due to device constraints, GPT-step three are unable to comprehend an entire database to know and you can generate man-made study away from, so we can only just give it a few analogy rows.
It is nice you to definitely GPT-step 3 gives all of us a great dataset with accurate relationship anywhere between columns and you may sensical study withdrawals
“Create an effective comma separated tabular database that have column headers of fifty rows out of customers studies off a matchmaking app.More
