打敗史上最強 NLP 的 GPT-3 千億參數，Google 最近推出語言模型 Switch Transformers，讓上兆參數量模型成為可能！
transformers nlp 在 Technews 科技新報 Facebook 的精選貼文
「transformers nlp」的推薦目錄：
- 關於transformers nlp 在 Technews 科技新報 Facebook 的精選貼文
- 關於transformers nlp 在 AppWorks Facebook 的最佳貼文
- 關於transformers nlp 在 DeepBelief.ai 深度學習 Facebook 的最佳解答
- 關於transformers nlp 在 The Illustrated Transformer - Jay Alammar 的評價
- 關於transformers nlp 在 Huggingface Transformers - GitHub 的評價
- 關於transformers nlp 在 Multi-task Training with Transformers+NLP - Colaboratory 的評價
- 關於transformers nlp 在 Best way to get a fixed sentence embedding-vector shape? 的評價
- 關於transformers nlp 在 Pin on NLP - Pinterest 的評價
transformers nlp 在 AppWorks Facebook 的最佳貼文
[Biggest Google Search update since 2015]
Just over a week ago Google implemented one of the biggest updates since Rankbrain in 2015, a breakthrough in NLP pre-training technique which birthed #BERT, or in it’s full glory--Bidirectional Encoder Representations from Transformers. This seems like a mouthful, but essentially Search is now able to understand words in relation to other words in a sentence, rather than one-by-one in order. Let’s take a look at what this change means and what you should do:
- The ability “to” understand words in a sentence:
2019 brazil traveler “to” usa need a visa — by looking at this query we can see the intent is for a Brazilian traveller needing a visa to travel to the USA. However, due to the previous algorithm focusing on domain ranking and keywords, the result often prioritized U.S citizens traveling to Brazil instead of the intended way.
- What does this mean “for” you?
If your content is optimized for Keywords > Intent, my guess is you’ll see a drop in traffic. But if your content is optimized for Intent > Keywords then you should see an increase in organic traffic with the BERT update. Either way, you should always monitor your top performing pages after a major Search update.
Google says this update is the biggest leap forward in the past five years, and one of the biggest leaps forward in the history of Search. It is too early to tell how this will affect SEO in the future but Google’s track record has always been to understand and resolve searcher’s intent, so going forward I expect more updates inline with #BERT.
AppWorks Accelerator is now accepting applications for its next AI/blockchain only batch (AW#20). Final round deadline is 12/16 >>>http://bit.ly/2C9HkaH
--
Jack An
Analyst, AppWorks
transformers nlp 在 DeepBelief.ai 深度學習 Facebook 的最佳解答
Keras之父大力推薦的transformers開源專案，10種架構,30多種可以在tf 2.0以及pytorch間共用的預訓練模型
https://mp.weixin.qq.com/s/aGCiXuY19DWiimuy8stfbw
transformers nlp 在 Huggingface Transformers - GitHub 的推薦與評價
Transformers : State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX. ... Many NLP tasks have a pre-trained pipeline ready to go. ... <看更多>
transformers nlp 在 Multi-task Training with Transformers+NLP - Colaboratory 的推薦與評價
Or: A recipe for multi-task training with Transformers' Trainer and NLP datasets. Hugging Face has been building a lot of exciting new NLP functionality lately. ... <看更多>
transformers nlp 在 The Illustrated Transformer - Jay Alammar 的推薦與評價
The Transformers outperforms the Google Neural Machine Translation ... Harvard's NLP group created a guide annotating the paper with PyTorch ... ... <看更多>