OpenAI에서 새롭게 출시된 머신러닝 도구가 공개되고 나서 많은 사람들이 관심을 보였다. 엄청나게 큰 데이터를 통해 학습한 텍스트 생성 모델이라고 간단하게 설명할 수 있을 것 같다. 나는 열렬한 ML 신봉자는 아니었지만 GPT-3를 보면서 과연 어디까지 어떻게 활용할 수 있을까 생각해보게 된다. ML이 보편적인 기술이 되면서 이 기술을 어떻게 활용할지에 대한 상상력이 더 중요해지는 시기가 오는 것 아닌가. 트위터에서 GPT-3를 사용한 다양한 사례 중 몇 가지를 뽑았다.
This is mind blowing.
With GPT-3, I built a layout generator where you just describe any layout you want, and it generates the JSX code for you.
W H A T pic.twitter.com/w8JkrZO4lk
— Sharif Shameem (@sharifshameem) July 13, 2020
OpenAI releases Image-GPT, a version of the same AI that you’ve probably seen generating writing. Only this time the same architecture (!!!) is trained on images instead. Given a partial image, it can generate multiple different ways of completing it. https://t.co/2DfsXyn984 pic.twitter.com/9DGBZDSTne
— Kaj Sotala (@xuenay) June 19, 2020
This changes everything. 🤯
With GPT-3, I built a Figma plugin to design for you.
I call it “Designer” pic.twitter.com/OzW1sKNLEC
— Jordan Singer (@jsngr) July 18, 2020
I made a fully functioning search engine on top of GPT3.
For any arbitrary query, it returns the exact answer AND the corresponding URL.
Look at the entire video. It’s MIND BLOWINGLY good.
cc: @gdb @npew @gwern pic.twitter.com/9ismj62w6l
— Paras Chopra (@paraschopra) July 19, 2020
=GPT3()… the spreadsheet function to rule them all.
Impressed with how well it pattern matches from a few examples.
The same function looked up state populations, peoples’ twitter usernames and employers, and did some math. pic.twitter.com/W8FgVAov2f
— Paul Katsen (@pavtalk) July 21, 2020