Word Embeddings are a technique in NLP that represent words as continuous vectors in a high-dimensional space. These vectors capture semantic and syntactic relationships between words. Word embeddings are useful for tasks such as language translation, sentiment analysis, and document clustering.
Facial Recognition is an AI technology that involves identifying and verifying individuals based on their facial characteristics. It analyses facial features such as the…