Building kannada-kasturi-embeddings

🫧 Open on Bubbles Embeddings are numerical representations of real-world objects, such as words, phrases, text, images, audio, and video. Since the real world is so complex, these representations are usually vector arrays of floating-point numbers. This helps computers process meaning, context, and semantic relationships using distances and directions between vectors. Word2Vec and FastText Embeddings are learned numerical representations. The actual values depend on the model architecture, training data, an
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