embeddingsto
Embeddings are a type of representation learning technique used in various fields, including natural language processing, computer vision, and information retrieval. The primary goal of embeddings is to transform complex data into a compact and dense vector space, where similar data points are closer together and dissimilar data points are further apart.
In the context of natural language processing, embeddings are often used to represent words, phrases, or documents
In computer vision, embeddings are used to represent images or objects as a set of vectors. These
Embeddings can be used in various applications, including recommendation systems, information retrieval, and machine learning models.
In recent years, embeddings have become increasingly popular and are being used in a wide range of