One of the things I think is hugely important about GPT3 is that it's paid for by the token. So for small users, it's pretty cheap, and it's fully workable for testing and experimentation.
One of the things I think is hugely important about GPT3 is that it's paid for by the token. So for small users, it's pretty cheap, and it's fully workable for testing and experimentation.
I created a small Anki plugin that tags cards based on their content using the Text-Davinci-003 model. However, the cost quickly becomes prohibitive when a large number of tokens/ Anki cards need to be processed. To be fair that plugin is not working great, since tags should be viewed, merged and reused on a global scope.
From a budget-conscious student's perspective, this amounts to roughly $20 per semester in my case, just for the tags. Despite this, I am still fascinated by the automation possibilities offered by GPT-3.
I think my expectation of this kind of service (on demand huge network) is fixed monthly fees, call us for pricing, etc. It's cool that it's approachable as a student. It'll be very interesting as costs for these things drop and/or performance improves at the same price points.