beágyazásai
Beágyazásai is a Hungarian term that translates to "embeddings" in English. In the context of computing and artificial intelligence, embeddings refer to a representation of objects, such as words, sentences, or even images, as vectors of real numbers in a high-dimensional space. The key idea behind embeddings is that similar objects are mapped to points that are close to each other in this vector space, while dissimilar objects are mapped to points that are further apart.
The process of creating embeddings typically involves training a machine learning model, often a neural network,
Embeddings have become a fundamental technique in many machine learning applications. They are widely used in