GPT模型：Improving Language Understanding by Generative Pre-Training
參考鏈接 https://www.cs.ubc.ca/~amuham01/LING530/papers/radford2018improving.pdf https://github.com/openai/finetune-transformer-lm 論文模型概述 論文模型訓練過程包括兩步： 第一步: 在大預料庫訓練高容量的語言模型； 第二步: 要特殊任務的有標籤的數據集上微調預訓練的語言模型
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相關文章
- 1. 文獻閱讀筆記—Improving Language Understanding by Generative Pre-Training
- 2. 【論文筆記】Improving Language Understanding by Generative Pre-Training
- 3. Improving Language Understanding by Generative Pre-Training閱讀筆記
- 4. 深度學習 -- > NLP -- >Improving Language Understanding by Generative Pre-Training
- 5. 文獻閱讀筆記：XLNet: Generalized Autoregressive Pretraining for Language Understanding
- 6. Watson Natural Language Understanding
- 7. 《BERT:Pre-training of Deep Bidirectional Transformers for Language Understanding》
- 8. BERT:Pre-training of Deep Bidirectional Transformers for Language Understanding
- 9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
- 10. Bert: Pre-training of Deep Bidirectional Transformers for Language Understanding