What are advanced vectorization techniques in AI?

What are advanced vectorization techniques in AI?

Advanced vectorization techniques refer to methods that enhance the representation of data in vector space, improving machine learning models.

Can you give me some examples of these techniques?

Sure! Examples include word embeddings like Word2Vec, GloVe, and techniques like TF-IDF for text data.

How do these techniques improve model performance?

They capture semantic relationships and contextual meanings, allowing models to understand and process data more effectively.

Are there any specific applications where these techniques are particularly useful?

Yes, they are widely used in natural language processing, recommendation systems, and image recognition tasks.