Vector Embeddings vs Word Embeddings: Differences and Use Cases
Embeddings play a crucial role in modern machine learning and natural language processing (NLP). They help transform textual or categorical data into a numerical format that machines can process efficiently. Two of the most commonly used embedding techniques are vector embeddings and word embeddings. While they share similarities, they serve different purposes and have unique … Read more