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.
Object Detection is an AI technique that identifies and localises objects within an image or video. It involves analysing the visual data and assigning…