Getting (and keeping) NLP models safely in production
Getting natural language processing (NLP) models into production is a lot like buying a car. In both cases, you set your parameters for your desired outcome, test several approaches, likely retest them, and the minute you drive off the lot, value starts to plummet. Like having a car, having NLP or AI-enabled products has many…