Notice
Recent Posts
Recent Comments
Link
| 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 | 31 |
Tags
- Ai
- cs231n
- Stanford
- error
- Standford
- cs224n
- code
- text
- github
- seq2seq
- Statistics
- install
- linux
- computer
- deeplearning
- machinelearning
- language_model
- natural_language_processing
- computer_setting
- terminal
- gensim
- git
- slideshare
- nlp
- Vim
- json
- tab
- pip
- paper_review
- review
Archives
- Today
- Total
NLP/AI/Statistics
[Slideshare] GPT models 본문
GPT-1: Improving language understanding by generative pre-training
GPT-2: Language models are unsupervised multitask learners
GPT-3: Language models are few-shot learners
Slideshare: https://www.slideshare.net/DanbiCho2/gpt-models
Gpt models
I summarized the GPT models in this slide and compared the GPT1, GPT2, and GPT3. GPT means Generative Pre-Training of a language model and was implemented base…
www.slideshare.net
참고)
GPT-1: https://www.cs.ubc.ca/~amuham01/LING530/papers/radford2018improving.pdf
GPT-3: https://arxiv.org/pdf/2005.14165.pdf
Python, Machine & Deep Learning
Python, Machine Learning & Deep Learning
greeksharifa.github.io
Python, Machine & Deep Learning
Python, Machine Learning & Deep Learning
greeksharifa.github.io
'Paper Slide' 카테고리의 다른 글
Comments