How does Relevance AI deal with spelling, typos or slang (e.g. British vs US spelling / Neighbour vs Neighbor)?

For most of our AI-driven analysis, we use state-of-the-art neural networks trained and tested on large datasets and different tasks. Datasets that are widely used are News, Wikipedia, reviews and tweets.

This means the models are familiar with the most common spellings, slags and typos to some extent.