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Feb 09.2021   Albertina Please remember based on your previous information we are pleased to notify you.s   An amount of $6,345.00 per year may be given to you by attending online classes. This could be very beneficial for you when you enroll in these classes.   Would you like to access this aid each year? It takes only few minutes. There is no limitation on returning after finishing classes. Complete..& Apply_Here #Ref:- NA-008931-03AR90

Unsubscribe 24 Roy St Seattle, WA 98109 LIT supports local explanations, including salience maps, attention, and rich visualizations of model predictions, as well as aggregate analysis including metrics, embedding spaces, and flexible slicing. It allows users to easily hop between visualizations to test local hypotheses and validate them over a dataset. LIT provides support for counterfactual generation, in which new data points can be added on the fly, and their effect on the model visualized immediately. Side-by-side comparison allows for two models, or two individual data points, to be visualized simultaneously. More details about LIT can be found in our system demonstration paper, which was presented at EMNLP 2020.