Introduction to Google’s Universal Sentence Encoder: A state-of-art model

Introduction to Google’s Universal Sentence Encoder: A state-of-art model

In this post, we'll learn introduction to Google’s Universal Sentence Encoder: A state-of-art model

NLP, Text Embeddings, and how to improve Google’s model

Text embeddings always play an important role in natural language-related tasks. The quality of text embeddings depends upon the size of the dataset that the model is trained on which improves the quality of features extracted. Instead of training the model completely from scratch, one can use pre-trained models like Google’s Universal Sentence Encoder which is discussed in this story ahead.

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