Part 7: Large Language Models and Advanced ML
Chapter 34: Natural Language Processing Foundations
Intermediate~120 min
Learning Objectives
- Implement text tokenization and embedding pipelines
- Train word embeddings (Word2Vec, GloVe) and use pre-trained embeddings
- Build a basic language model using RNN and transformer architectures
Sections
💬 Discussion
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