Semanlink - Prompting/In-context learning AND NLP@Stanford

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Arxiv Doc - GitHub project - Instruction tuning - Knowledge-Intensive NLP Tasks - LangChain - LM + Search - NLP@Stanford - NLP based IR - Omar Khattab - Prompting/In-context learning - Retriever-Reader - RL from Human Feedback - Slides - Transformers - Webinar - YouTube video -

Prompting/In-context learning AND NLP@Stanford

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4 Documents

LangChain Retrieval Webinar - YouTube

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2023-05-27 About

stanfordnlp/dspy: 𝗗𝗦𝗣: Demonstrate-Search-Predict. A framework for composing retrieval and language models for knowledge-intensive NLP.

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2023-02-18 About

Prompting, Instruction Finetuning, and RLHF (CS224N)

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2023-02-16 About

[2208.01066] What Can Transformers Learn In-Context? A Case Study of Simple Function Classes

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2022-09-17 About