Gen AI Foundational Models for NLP & language Understanding

Overview

What you’ll learn

1. - Explain how to use one-hot encoding, bag-of-words, embedding, and embedding bags to convert words to features.
2. - Build and use word2vec models for contextual embedding.
3. - Build and train a simple language model with a neural network.
4. - Utilize N-gram and sequence-to-sequence models for document classification, text analysis, and sequence transformation.