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.
A Virtual Assistant (or Virtual Agent) is an AI-powered software or application that performs various tasks and assists users with their daily activities. It…