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4min chapter
Generating SQL Database Queries from Natural Language with Yanshuai Cao - #519
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
How to Train Deep Transformers in a Small Data Set?
Data augmentation is one possible way to address that. We have additional step that can laverish the execution result. The model, even if it has ability to perform some sort of form of reasoning, if you can't train it, then it's no use. So so we find a way to train deep transformers in a very small data set, in a stable fashion. And with this technique that we came o publish at asoti sphere, it's possible to train it in stable fashion on small data sets.
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