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Classroom Contents
Natural Language Processing - Fall 2025
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- 1 (Q)LoRA; Course wrap
- 2 Quantization & KV cache
- 3 DPO & Reasoning LMs
- 4 SFT data & RLHF
- 5 LLM-as-judge; Instruction finetuning / SFT
- 6 Summarization & Text generation evaluation
- 7 Answer extraction & RAG
- 8 QA landscape & Retrieval
- 9 Review & Pretraining data
- 10 Pretraining & finetuning
- 11 Transformers Part 2
- 12 Transformers Part 1
- 13 Subword tokenization
- 14 Attention
- 15 seq2seq (through the lens of NMT)
- 16 Language modeling
- 17 Word embeddings: Eval & analysis + Course preview
- 18 Word embeddings: word2vec skip-gram
- 19 Neural networks foundations: Part 2
- 20 Neural networks foundations: Part 1
- 21 Machine learning foundations: Part 2
- 22 Machine learning foundations: Part 1
- 23 Course Overview & Logistics
