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In this video tutorial, the speaker discusses the difference between using Esport sentence embedding and birth sentence vector embedding. They compare the S Part model with the Bird sentence vector model, explaining that Bird is based on a transformer with stacked encoders. The input is tokenized into word pieces, classified at the beginning of the sentence, and then converted into numerical representations through an embedding layer. This allows for more accurate sentence embeddings compared to traditional vector embeddings.
