​​Metric Learning Tips & Tricks Hi everyone, I don't often ha | Neural Networks Engineering

​​Metric Learning Tips & Tricks

Hi everyone, I don't often have posts on this channel.
But today, I want to share some insights about what I'm working on.

Over the last year, I have been developing on a job matching system, and in the process, I have solved some interesting problems related to metric(similarity) learning.

I decided to collect all the interesting solutions into an article.

Here are some highlights:

- We have embeddings for professions and you can play with them online
- There is a way to train a model without labeled data, but it requires some tricks
- Hard Negative Mining does not work, but you can increase batch size instead
- It is possible to estimate embedding confidence
- We can micro-manage the model without re-training. Introducing the neural rules
- How do we deploy metric learning in production. Spoiler: with Qdrant