I currently have a ML Skill in my UiPath Workflow using data that I labeled, put into a dataset, ran a full pipeline on, and then turned into an ML Skill. I now have some invoices for some different companies that I want the bot to learn to read.
Do I need to use the same dataset as last time and simply add more invoices to the data labeling session and only label the newest invoices before running a training pipeline for the original ML Skill? OR should I create a new dataset for this new set of invoices and thereby create a new data labeling session solely for the newest invoice and then run a training pipeline for the original ML Skill using this new labeled dataset?
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