Course / 01
Natural Language Processing
A structured path from text fundamentals to modern LLM systems and evaluation.
7 sections2 published notes∞ permanent URLs
Available now
- 01
Foundations
- Text preprocessingPlanned
- TokenizationPlanned
- CorporaPlanned
- EvaluationPlanned
- 02
Classical NLP
- Bag of WordsPlanned
- TF-IDFPlanned
- N-gramsPlanned
- Language modelsPlanned
- 03
Representations
- Word2VecPlanned
- GloVePlanned
- FastTextPlanned
- Contextual embeddingsPlanned
- 04
Neural NLP
- RNNPlanned
- LSTM / GRUPlanned
- Seq2SeqPlanned
- AttentionPlanned
- 05
Transformers
- Self-attentionRead →
- Transformer architectureRead →
- BERTPlanned
- GPTPlanned
- Encoder / decoder modelsPlanned
- 06
Modern LLM Systems
- Instruction tuningPlanned
- RAGPlanned
- Tool usePlanned
- AgentsPlanned
- EvaluationPlanned
- 07
Applications
- ClassificationPlanned
- NERPlanned
- SearchPlanned
- QAPlanned
- GenerationPlanned