Detailed Calendar

Required and additional readings, to be updated (bi)weekly. Additional readings are not mandatory.

Week	Date	Class Topics	Readings	Work Due
1	Jan 8	Introduction and Course Overview
1	Jan 10	Class Cancelled
2	Jan 15	No Class / MLK Day
2	Jan 17	n-gram Language Models I	Jurafsky and Martin, 3.1-3.3	HW1 Released
3	Jan 22	n-gram Language Models II	Jurafsky and Martin, [Chap 3.4-3.7] Additional: Mitchell, Chap 2, Estimating Probabilities
3	Jan 24	Project Pitches
4	Jan 29	Logistic Regression	Jurafsky and Martin, [Chap 5.1-5.2,5.4-5.5]
4	Jan 31	Logistic Regression II	Jurafsky and Martin, [Chap 5.3, 5.6-5.8]	HW1 Due
5	Feb 5	Word Embeddings I	Jurafsky and Martin, [Chap 6.3-6.7]
5	Feb 7	Word Embeddings II	Jurafsky and Martin, [Chap 6.8-6.13]	Project Proposal Due; HW2 Released
6	Feb 12	Feedforward Neural Net Language Models	Jurafsky and Martin, [Chap 7]
6	Feb 14	Recurrent Neural Net Language Models	Jurafsky and Martin, [Chap 9]
7	Feb 19	No Class / President's Day
7	Feb 21	Sequence-to-Sequence and Attention	Jurafsky and Martin, [Chap 9.7-9.8]
8	Feb 26	Transformers - Building Blocks	Jurafsky and Martin, [Chap 10]	HW2 Due
8	Feb 28	Project Discussions
9	Mar 4	Transformers - Building Blocks II	Jurafsky and Martin, [Chap 10]	Project Progress Report; HW3 Released
9	Mar 6	PyTorch Demo
10	Mar 11	Spring Break
10	Mar 13	Spring Break
11	Mar 18	Pretraining and Finetuning Transformers	Jurafsky and Martin, [Chap 11.1-11.2]
11	Mar 20	Pretraining and Finetuning Transformers - Contd.	Jurafsky and Martin, [Chap 11.3]	HW3; HW4 Released
12	Mar 25	LLM Harms - Guest Lecture
12	Mar 27	Language Generation	Jurafsky and Martin, [Chap 13.4]
13	Apr 1	Language Generation - Modern Sampling	Jurafsky and Martin, [Chap 10.8]
13	Apr 3	Evaluating Generations + Prompting and Instruction Tuning	Jurafsky and Martin, [Chap 13.6]	HW4 Due
14	Apr 8	Project Discussions
14	Apr 10	Aligning LLMs
15	Apr 15	Advanced Topics + Putting it all together
15	Apr 17	Final Presentations I
16	Apr 22	Final Presentations II
16	Apr 24	Final Presentations III