1. Prepare the Data. The first step in training an AI model is preparing your data by collecting, cleaning, and preprocessing the information you will use to train the model.

Word tokenization is a process where data is divided into sub-words and converted into numerical IDs that the model can recognize. This tokenization procedure usually employs a dictionary or ...

A research group is improving digital twins of entire biomanufacturing processes by making existing datasets work harder. The team, now based in the Laboratory of Advanced Manufacturing Process (LAMP) ...