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.
Robotics Process Automation is an AI technology that automates repetitive and routine tasks in business processes. RPA involves using software robots to emulate human…