Skip gram and Continuous Bag of Words (CBOW) are two different architectures used in Word2Vec for learning word embeddings. Skip gram predicts the context words given a target word, while CBOW predicts the target word given its context words. In general, skip gram performs better on large datasets and with rare words, while CBOW is faster to train and works well with smaller datasets and frequent words.