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Episodes


Stanford XCS224U: NLU I In-context Learning, Part 2: Core Concepts I Spring 2023

Stanford XCS224U: Natural Language Understanding I In-context Learning, Pt 1: Origins I Spring 2023

Stanford XCS224U: NLU I Information Retrieval, Part 5: Datasets and Conclusion I Spring 2023

Stanford XCS224U: NLU I Information Retrieval, Part 4: Neural IR I Spring 2023

Stanford XCS224U: NLU I Information Retrieval, Part 3: IR metrics I Spring 2023

Stanford XCS224U: NLU I Information Retrieval, Part 2: Classical IR I Spring 2023

Stanford XCS224U: NLU I Information Retrieval, Part 1: Guiding Ideas I Spring 2023

Stanford XCS224U: Natural Language Understanding I Homework 2 I Spring 2023

Stanford XCS224U: NLU I Contextual Word Representations, Part 10: Wrap-up I Spring 2023

Stanford XCS224U: NLU I Contextual Word Representations, Part 9: Distillation I Spring 2023

Stanford XCS224U: NLU I Contextual Word Representations, Part 8: Seq2seq Architectures I Spring 2023

Stanford XCS224U: NLU I Contextual Word Representations, Part 7: ELECTRA I Spring 2023

Stanford XCS224U: NLU I Contextual Word Representations, Part 6: RoBERTa I Spring 2023

Stanford XCS224U: NLU I Contextual Word Representations, Part 5: BERT I Spring 2023

Stanford XCS224U: NLU I Contextual Word Representations, Part 4: GPT I Spring 2023

Stanford XCS224U: NLU I Contextual Word Representations, Part 3: Positional Encoding I Spring 2023

Stanford XCS224U: NLU I Contextual Word Representations, Part 2: Transformer I Spring 2023

Stanford XCS224U: NLU I Contextual Word Representations, Part 1: Guiding Ideas I Spring 2023

Stanford XCS224U: Natural Language Understanding I Homework 1 I Overview: Bake Off
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