GPT2.0 Language Models are Unsupervised Multitask Learners 論文解讀
轉載請註明出處，原文地址 本文是對《Language Models are Unsupervised Multitask Learners》的翻譯，部分內容可能會存在理解錯誤，如有錯誤歡迎指正交流。 個人對論文的理解 最近GPT-2的關注度很高，其效果極其驚人，官方甚至表示因爲其效果太差怕被用來做壞事並未開源，粉絲認爲open AI惡意炒作，有人甚至吐槽它應該改名叫closed AI。不管GPT-
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相關文章
- 1. GPT2.0 Language Models are Unsupervised Multitask Learners 論文解讀
- 2. GPT2--Language Models are Unsupervised Multitask Learners
- 3. 論文分享 -- > NLP -- > Language Models are Unsupervised Multitask Learners
- 4. GPT-3：Language Models are Few-Shot Learners 論文解讀
- 5. OpenAI GPT-2語言模型是非監督多任務學習器 Language Models are Unsupervised Multitask Learners
- 6. Big Self-Supervised Models are Strong Semi-Supervised Learners論文研讀
- 7. GPT-2技術學習（論文+原理+代碼）
- 8. 論文閱讀 decaNLP -- The Natural Language Decathlon: Multitask Leaning as Question Answering
- 9. EMNLP2020 | Language Model精選論文解讀
- 10. 【論文筆記】Character-Aware Neural Language Models