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The visual representation of test results means you start to see unexpected patterns otherwise lost in excel sheets. The automatic comparison of the last test with previous tests means the user learns 'what works' much quicker, you get a better grip on the continuous optimization process. Then there are dozens of other features that all tie into one process. All in all, the tool supercharges your iterative process towards an NLP model with high matching accuracy, high robustness, and high transparency for you and stakeholders.
Honestly, there is nothing I dislike about this tool.
We've solved the problem of having an unclear, inefficient work process when trying to improve the accuracy of NLP models. Benefits realized: A higher ceiling of accuracy, quicker iteration cycles toward that ceiling, less time spent per cycle, easier to inform stakeholders of progress, more clarity, and grip on the NLP model and work-processes related to this.