lecture slides

Below are the links to all slides covered in class. Slides will be posted as soon as they are available.

Lecture #	Date	Topic	Slides	Recording	Quiz	Reading
0	7 Sept	Intro Lecture	Slides	Recording	Quiz 0
1	12 Sept	Tasks, Benchmarks, and Metrics	Slides	Recording	Quiz 1
2	14 Sept	Text Classifiers, BOW Models	Slides	Recording	Quiz 2
3	19 Sept	Distributional Hypothesis & Word Embeddings	Slides	Recording	Quiz 3
4	21 Sept	Topic Modeling	Slides	Recording	Quiz 4
5	26 Sept	Statistical Machine Translation	Slides	Recording	Quiz 5
6	28 Sept	Ngram Language Models	Slides	Recording	Quiz 6
7	3 Oct	Neural Architectures for NLP Part 1: MLPs, RNNs	Slides	Recording	Quiz 7
8	5 Oct	Neural Architectures for NLP Part 2: Transformers and NMT	Slides	Recording	Quiz 8
9	10 Oct	Pretraining	Slides	Recording	Quiz 9
10	12 Oct	Finetuning	Slides	Recording	Quiz 10
11	17 Oct	Morphology, Tokenization	Slides	Recording	Quiz 11
12	19 Oct	Lexicon (Part of Speech, Word Sense)	Slides	Recording	Quiz 12
13	24 Oct	Syntax: Grammars and Parsing	Slides	Recording	Quiz 13
14	26 Oct	Semantics: Semantic Representations and Parsing	Slides	Recording	Quiz 14
15	31 Oct	Interpretability Part 1: What happened to CoreNLP?	Slides	Recording	Quiz 15
16	2 Nov	Interpretability Part 2: Mechanistic Interpretability (Guest Lecture, Jack Merullo)	Slides	Recording	No Quiz
17	7 Nov	Instruction Tuning	Slides	Recording	Quiz 16
18	9 Nov	A Brief History of Pretraining and Post-training Language Models (Guest Lecture, Albert Webson)	Slides	Recording	No Quiz
19	14 Nov	RLHF/RLAIF: Reinforcement Learning from Human (and AI) Feedback	Slides	Recording	Quiz 17
20	16 Nov	Tasks and Benchmarking Revisited	Slides	Recording	Quiz 18
	21 Nov	No Class: Thanksgiving
	23 Nov	No Class: Thanksgiving
21	28 Nov	Compositionality in Neural Network Representations (Guest Lecture, Michael Lepori)	Slides	Recording	No Quiz
22	30 Nov	Language Grounding (Guest Lecture, Roma Patel)	Slides	Recording	No Quiz
	5 Dec	No Class
	7 Dec	No Class