On-Device #MachineLearning: Text Generation on Android
https://towardsdatascience.com/on-device-machine-learning-text-generation-on-android-6ad940c00911?gi=43c0a4dc7d55&source=rss----7f60cf5620c9---4 …pic.twitter.com/EUVtkc6jpg
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Google AutoML model predicts amused, friendly and hopeful...
#EmotionMLpic.twitter.com/hvyzZv7cQM
Are there plans to release the pretained weights with spanish corpus?
Must. Have.
Is it using knowledge distillation techniques?
It uses a modified transformer encoder architecture like that of BERT. The main contributions to parameter efficiency are 1. Cross-Layer Parameter Sharing in Attention and FFN 2. Factorized Embedding Parameterisation (separated Embedding)
It would be awesome for Google to develop an 'AI/ML/DL' that can answer customers e-mail inquiries for companies globally and charge them a nominal fee... It extremely annoying to make an e-mail inquiry and receive no response in 9.5 of 10...Even multinationals don't FB... 

I am hoping to join your team really soon for NLP
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