NLU-11: Schedule | Open Course Materials

Week-by-Week Course Overview

Legend: L lecture, A assignment (coursework), T tutorial, D lab (demo session)

Date	Lecture No	Alternative lecture syllabus	Lecturer	Tutorials/labs	Assignments
Week 1 15 Jan	L01	Introduction	All	none
	L02	Machine Translation	Birch
	L03	Conditional Language Models	Birch
Week 2 22 Jan	L04	Feedforward Language Models	Birch		A01 issued - Monday 22 January A01 partner choice due
	L05	Recurrent Neural Networks	Birch
	L06	Datasets and Vocabulary	Birch
Week 3 29 Jan	L07	Sequence-to-sequence Models with Attention	Cohen	D01: Numpy
	L08	Transformers	Cohen
	L09	Word Embeddings	Cohen
Week 4 5 Feb	L10	Pretrained Langauge Models	Cohen	T01: Neural Language Models
	L11	Prompting	Cohen
	L12	Decoding	Cohen
Week 5 12 Feb	L13	Neural Parsing	Cohen	D02: Distributed Representations
	L14	Scaling laws in LLMs	Cohen
	L15	Security/safety in LLMs	Cohen		A01 due - Friday 16 February
19 Feb	-	Flexible Learning Week: no teaching
Week 6 26 Feb	L16	Evaluating Translation and Generation	Birch	T02: Transformers
	L17	Machine Translation with Multilingual Data	Birch
	L18	Question Answering	Minervini		A02 issued - Friday 1 March
Week 7 4 Mar	L19	Ethics in NLP	Birch	D03: Tensor Computation in PyTorch	A02 - partner choice due - Monday 4 March
	L20	Bias in Word Embeddings	Birch
	L21	LLMs, Alignment, and Evaluation	Minervini
Week 8 11 Mar	L22	Translation and LLMs	Birch	T03: Ethics and NLP
	L23	Retrieval Augmented Models	Minervini
	L24	Generation, In-context Learning, and Reasoning	Minervini
Week 9 18 Mar	L25	Movie Summarisation	Frank Keller	D04: Prompting with GPT-3.5
	L26	Summarisation	Minervini
	L27	Parameter Efficient Fine-Tuning	Minervini		A02 due - Friday 22 March
Week 10 25 Mar	L28	Spoken Language Translation	TszKin Lam	T04: Summarization
	L29	Unsupervised Parsing	Minervini
	L30	Exam Review	All

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