Let's say you want to start working on a chatbot. Then the likely issue won't be that you don't have enough deep learning models that you can pip install. The real problem is probably that you don't have proper training data to start with. It's a precious moment in time to take serious, but what tools can we use for this?

In this talk I would like to share some techniques/tools that I've been working on for this use-case. The goal won't be to have a gold-standard right away. Instead the goal is to bootstrap as quickly as possible. During the talk I'll do some live-coding and I'll highlight some tools that I've open sourced that might help you bulk-label.



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