1. GPT- 3는 얼마나 똑똑할까?
https://blog.pingpong.us/gpt3-evaluation/?fbclid=IwAR1y5dnyRNpTlkGUAQOED4z2ereG3-stZTkUg1cEdJ_SrwALHp4fLEeosAE
2. 영어에 의존하지 않고 다국어 번역하기
https://about.fb.com/news/2020/10/first-multilingual-machine-translation-model/
3. 자연어처리 수준, 사람을 뛰어 넘었다.
https://www.sciencetimes.co.kr/news/%EC%9E%90%EC%97%B0%EC%96%B4%EC%B2%98%EB%A6%AC-%EA%B8%B0%EC%88%A0-%EC%82%AC%EB%9E%8C-%EC%88%98%EC%A4%80-%EB%9B%B0%EC%96%B4%EB%84%98%EC%97%88%EB%8B%A4/
4. 오픈CV로 실시간 멀타 타겟 추적하기
https://opencv.org/multiple-object-tracking-in-realtime/
5. 기계학습, 열역학적 "시간의 화살" 방향 추론
http://scimonitors.com/%EA%B8%B0%EA%B3%84%ED%95%99%EC%8A%B5-%EC%97%B4%EC%97%AD%ED%95%99%EC%A0%81-%EC%8B%9C%EA%B0%84%EC%9D%98-%ED%99%94%EC%82%B4-%EB%B0%A9%ED%96%A5-%EC%B6%94%EB%A1%A0/
6. MS, 노코드 머신러닝 개발 "로브" 공개
http://www.aitimes.com/news/articleView.html?idxno=133154&fbclid=IwAR0N2nJ_E961rj1isdKI8-Ii6rqDb2oUiQcea9XoIQ7GI3Vfx2J_B06hOoQ
7. BERT에 대해 쉽게 알아보기
https://ebbnflow.tistory.com/m/151?fbclid=IwAR20SmIQrsKfKtXUxab9HMLogS_QF9n7pYSt3AdfSKhHBr6bcw0csCoOvmg
8. Airflow vs. Luigi vs. Argo vs. MLFlow vs. KubeFlow 비교
https://towardsdatascience.com/airflow-vs-luigi-vs-argo-vs-mlflow-vs-kubeflow-b3785dd1ed0c