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.
Computer vision is a field of AI that focuses on training machines to understand and interpret images and videos. By analysing visual data, machines…