NLP, Llm, Deep Learning, Machine Learning, Mathematics.
Word2Vec is a popular word embedding technique that aims to represent words as continuous vectors in a high-dimensional space. It introduces two models: Continuous Bag of Words (CBOW) and Skip-gram, each contributing to the learning of vector representations. 1. Model Architecture: Continuous Bag