Fast, Cheap, Juicy. How to cook an NLP based product using open source and minimal resources.
Master class plan:
First, we’re going to discuss the general concepts of NLP problems and how to solve them. Let's talk about the features of using NLU in real products
We will implement a simple semantic search using the BERT + Nearest neighbor search link and discuss for which products you can create a baseline based on it
Let's wrap our pipeline into a service that anyone can use. In the end, I will tell you how you can improve the results obtained and optimize the inference, I will share useful links
Requirements: knowledge of python, basic understanding of NLP and language models based on transformers