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In-Situ De-embedding (ISD) is a unique de-embedding tool invented by AtaiTec to address the issues of non-causal DUT results that other de-embedding tools encountered. Many people now refer to ISD’s pioneering technique as impedance corrected method.
Segment Embeddings: BERT can also take sentence pairs as inputs for tasks (Question-Answering). That’s why it learns a unique embedding for the first and the second sentences to help the model distinguish between them. In the above example, all the tokens marked as EA belong to sentence A (and similarly for EB)