Grindr, a matchmaking app to possess LGBTQ+ someone, has been around much longer (est
“Create good comma broke up tabular databases off buyers investigation out of good matchmaking application with the adopting the columns: first-name, past name, many years, area, condition, gender, sexual positioning, interests, level of likes, number of suits, big date consumer registered the new app, additionally the owner’s rating of software between step 1 and you can 5”
GPT-3 don’t give us one line headers and you may gave all of us a dining table with each-other line that have zero recommendations and only cuatro rows from genuine consumer data. it gave us around three articles regarding hobbies whenever we was only finding that, however, to get reasonable to help you GPT-3, we performed fool around with an excellent plural. All of that are told you, the data it did build for us isn’t really 50 % of bad – names and you will sexual orientations track toward right genders, the latest towns they provided us are also inside their proper claims, together with schedules slide within the right range.
We hope when we provide GPT-3 a few examples it can finest discover exactly what we have been searching having. Regrettably, due to unit limits, GPT-3 are unable to comprehend a whole database understand and you will make synthetic investigation off, so we are only able to provide a number of example rows.
“Do a good comma split up tabular database with line headers away from fifty rows out of buyers study of an internet dating software. 0, 87hbd7h, Douglas, Trees, thirty five, Chi town, IL, Male, Gay, (Cooking Color Learning), 3200, 150, , step 3.5, asnf84n, Randy, Ownes, twenty two, Chicago, IL, Male, Upright, (Powering Walking Knitting), five hundred, 205, , step 3.2”
Example: ID, FirstName, LastName, Years, Urban area, County, Gender, SexualOrientation, Welfare, NumberofLikes, NumberofMatches, DateCustomerJoined, CustomerRating, Df78hd7, Barbara, Best, 23, Nashville, TN, Female, Lesbian, (Walking Cooking Powering), 2700, 170, , cuatro
Giving GPT-step 3 something to foot its manufacturing towards most helped it create what we require. (المزيد…)