| 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 |
Tags
- GenerativeAI
- 코드업
- gcp
- 파이썬알고리즘
- Python
- 구글퀵랩
- Python3
- codeup
- nlp
- 파이썬
- 빅데이터
- 자연어처리
- 클라우드
- Microsoft
- 알고리즘
- LeetCode
- 리트코드
- 투포인터
- 머신러닝
- 생성형AI
- GenAI
- 코드업파이썬
- C#
- two-pointer
- 데이터사이언스
- Azure
- 파이썬기초
- 파이썬기초100제
- 릿코드
- Blazor
Archives
- Today
- Total
목록어텐션모델 (1)
Tech for good
[Google Cloud Skills Boost(Qwiklabs)] Introduction to Generative AI Learning Path - 7. Attention Mechanism
https://www.youtube.com/playlist?list=PLIivdWyY5sqIlLF9JHbyiqzZbib9pFt4x Generative AI Learning Path https://goo.gle/LearnGenAI www.youtube.com Attention mechanism is behind all the transformer models and which is core to the LLM models. Encoder-Decoder is a popular model that is used to translate sentences. The encoder-decoder takes one word at a time and translates it at each time step. Howeve..
IT/Cloud
2023. 9. 9. 15:51