BERT

Kyle Polich discusses BERT. The following are my takeaways.

• BERT is like magic. It can be used for many tasks
• It is memory intensive and hence you need to set up as a service
• BERT is an improved version of ELMo
• One can spin up a service and let it serve word vectors based on BERT
• It is Bidirectional Encoding based
• It has transfer function embedded in it
• Need to experiment with BERT
• You can use BERT for a ton of tasks such as Sentiment classification, NER, Topic Modeling etc