Once the AI/ML model is built, researchers spend a considerable amount of time to come up with different parameters on which that model should be evaluated. Evaluation methods are problem-specific. Recently, Stanford University along with Salesforce Research and UNC-Chapel Hill has proposed a system for the evaluation of NLP pipelines, commonly referred to as Robustness Gym.

Read more: https://analyticsindiamag.com/guide-to-robustness-gym-unifying-the-nlp-evaluation-landscape/

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