일 | 월 | 화 | 수 | 목 | 금 | 토 |
---|---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 | ||
6 | 7 | 8 | 9 | 10 | 11 | 12 |
13 | 14 | 15 | 16 | 17 | 18 | 19 |
20 | 21 | 22 | 23 | 24 | 25 | 26 |
27 | 28 | 29 | 30 |
- 구글퀵랩
- gcp
- codeup
- two-pointer
- sql코테
- 릿코드
- 파이썬
- slidingwindow
- stratascratch
- GenAI
- medium
- heap
- 투포인터
- 자연어처리
- dfs
- 니트코드
- SQL
- Python
- 슬라이딩윈도우
- GenerativeAI
- 파이썬알고리즘
- nlp
- 생성형AI
- 리트코드
- 알고리즘
- 파이썬기초100제
- Python3
- Microsoft
- LeetCode
- 코드업
- Today
- Total
목록Generative AI (2)
Tech for good

https://www.youtube.com/playlist?list=PLIivdWyY5sqIlLF9JHbyiqzZbib9pFt4x Generative AI Learning Path https://goo.gle/LearnGenAI www.youtube.com Pre-trained: for general purpose with a large data set Fine-tuned: for specific aims with a much smaller data set Transformer model (e.g. PaLM) A transformer model consists of encoder and decoder. Encoder - encodes the input sequence and passes it to the..

https://www.youtube.com/playlist?list=PLIivdWyY5sqIlLF9JHbyiqzZbib9pFt4x Generative AI Learning Path https://goo.gle/LearnGenAI www.youtube.com semi-supervised learning = 소량의 labeled data + 대량의 unlabeled data The labeled data -> neural network이 task의 basic concepts을 알 수 있게 도와줌. The unlabeled data -> neural network이 새로운 예시들을 일반화할 수 있게 도와줌.