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.
Artificial Intelligence refers to computer systems designed to simulate human intelligence. With AI, machines can accomplish tasks that typically require human cognition, such as…