Special Modules
Deep-dive standalone content on specialized NLP topics
Available Modules
Comprehensive standalone modules that complement the main course curriculum with deep dives into specific topics.
Complete guide to text summarization with large language models. Covers extractive vs abstractive approaches, ROUGE evaluation, and modern LLM techniques.
- Extractive Summarization
- Abstractive Methods
- ROUGE Metrics
- Prompt Engineering for Summarization
BERT-based sentiment analysis with fine-tuning techniques. Two-tier structure with technical deep dives in the appendix.
- BERT Fine-tuning
- Classification Heads
- Training Strategies
- Evaluation Metrics
Comprehensive exploration of word embeddings with interactive 3D visualizations. From one-hot encoding to contextual embeddings.
- One-Hot to Dense Vectors
- Word2Vec Deep Dive
- 3D Semantic Geometry
- Contextual Embeddings
Zero-to-hero guide to Long Short-Term Memory networks. Modular design with checkpoint quizzes for self-assessment.
- Vanishing Gradient Problem
- Gate Mechanisms
- Memory Cells
- Bidirectional LSTMs