“Perform a great comma split tabular databases away from buyers study regarding an excellent relationship software toward following the columns: first name, history term, age, area, state, gender, sexual positioning, welfare, quantity of loves, number of matches, big date customers entered the new application, and the user’s rating of one’s application anywhere between step one and you can 5”
GPT-step three don’t provide us with people line headers and you can provided united states a table with every-other line with no suggestions and just 4 rows away from real consumer investigation. It also provided all of us about three articles off passion whenever we was indeed merely wanting that, but to-be fair so you can GPT-3, i did explore an effective plural. All that are said, the information they performed develop for people is not half crappy – names and sexual orientations tune on the best genders, the fresh new towns and cities they gave you also are inside their proper says, and the times slide within a suitable diversity.
Develop whenever we offer GPT-step three some situations it can better see what we are searching to possess. Unfortunately, because of unit constraints, GPT-step 3 can not realize a whole database understand and you may build synthetic study out-of, so we can only just give it several analogy rows.
“Create a good comma split up tabular databases with column headers away from fifty rows away from buyers analysis out-of an online dating software. 0, 87hbd7h, Douglas, Trees, thirty-five, Chi town, IL, Male, Gay, (Baking Color Studying), 3200, Tysk datingsider for kvinner 150, , 3.5, asnf84n, Randy, Ownes, 22, Chi town, IL, Men, Upright, (Running Walking Knitting), five-hundred, 205, , step 3.2”
