Semanlink - Retriever-Reader AND Prompting/In-context learning

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Arxiv Doc - Discuté avec Raphaël - GitHub project - J'y étais - Jerry Liu - Knowledge-Intensive NLP Tasks - LM + Search - NLP@Stanford - NLP based IR - Omar Khattab - Prompting/In-context learning - RAG (Retrieval-Augmented Generation) - Retrieval augmented LM - Retriever-Reader - Slides - Tweet - Webinar -

Retriever-Reader AND Prompting/In-context learning

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5 Documents

[2310.03025] Retrieval meets Long Context Large Language Models

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2023-10-07 About

Jerry Liu sur Twitter : "The DSP project carries a lot of insights for improving RAG..."

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2023-06-18 About

Retrieval-augmented LMs, and prompting

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2023-06-16 About

Retrieval Augmented Generation (RAG) | Prompt Engineering Guide

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2023-06-16 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