embeddings

Embeddings are a way to translate words, images, or other data into numerical vectors (lists of numbers) that capture their meaning or features. Think of it as turning complex information into a form that a computer can process and analyze. For example, similar words like "king" and "queen" will have nearby vectors because they share related meanings. Embeddings help machines understand relationships and patterns in data, enabling tasks like language translation, sentiment analysis, and recommendation systems. Essentially, they convert real-world data into a mathematical format that preserves key semantic or structural information.