Unlock Data Meaning: Embeddings Explained

Here's a summary of the provided article, followed by a 2-line summary sentence: **Summary:** Embedding models are machine learning tools that convert data like text, images, or audio into numerical vectors (embeddings). These embeddings capture semantic meaning and relationships, enabling machines to understand and compare information effectively. Unlike traditional methods like one-hot encoding, embeddings map similar data points closer together in a lower-dimensional space, revealing underlying relationships. Embedding models offer semantic understanding, dimensionality reduction