Monitoring unstructured data for LLM and NLP

A code tutorial on using text descriptors

Once you deploy an NLP or LLM-based solution, you need a way to keep tabs on it. But how do you monitor unstructured data to make sense of the pile of texts?

There are a few approaches here, from detecting drift in raw text data and embedding drift to using regular expressions to run rule-based checks.

In this tutorial, we’ll dive into one particular approach — tracking interpretable text descriptors …

machine learning ml-monitoring mlops nlp