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Phase 05

NLP Foundations to Advanced

Language is the interface to intelligence. Master every layer.

Lessons (29)

  1. 01Text Processing — Tokenization, Stemming, Lemmatization
  2. 02Bag of Words, TF-IDF, and Text Representation
  3. 03Word Embeddings — Word2Vec from Scratch
  4. 04GloVe, FastText, and Subword Embeddings
  5. 05Sentiment Analysis
  6. 06Named Entity Recognition
  7. 07POS Tagging and Syntactic Parsing
  8. 08CNNs and RNNs for Text
  9. 09Sequence-to-Sequence Models
  10. 10Attention Mechanism — The Breakthrough
  11. 11Machine Translation
  12. 12Text Summarization
  13. 13Question Answering Systems
  14. 14Information Retrieval and Search
  15. 15Topic Modeling — LDA and BERTopic
  16. 16Text Generation Before Transformers — N-gram Language Models
  17. 17Chatbots — Rule-Based to Neural to LLM Agents
  18. 18Multilingual NLP
  19. 19Subword Tokenization — BPE, WordPiece, Unigram, SentencePiece
  20. 20Structured Outputs & Constrained Decoding
  21. 21Natural Language Inference — Textual Entailment
  22. 22Embedding Models — The 2026 Deep Dive
  23. 23Chunking Strategies for RAG
  24. 24Coreference Resolution
  25. 25Entity Linking & Disambiguation
  26. 26Relation Extraction & Knowledge Graph Construction
  27. 27LLM Evaluation — RAGAS, DeepEval, G-Eval
  28. 28Long-Context Evaluation — NIAH, RULER, LongBench, MRCR
  29. 29Dialogue State Tracking