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Arxiv Doc - BERT - Discuté avec Raphaël - Domain adaptation - Domain adaptation (NLP) - Embeddings - Fine-tuning - GitHub project - Graph - Information retrieval: techniques - Knowledge-augmented Language Models - Knowledge-Intensive NLP Tasks - Language Model - LLM - LM + Search - Microsoft Research - Neural networks - Nils Reimers - NLP: companies - NLP@Google - NLP@Microsoft - NLP tools - Not Encoding Factual Knowledge in Language Model - Omar Khattab - Question Answering - Ranking - Ranking (information retrieval) - Retrieval augmented LM - Retrieval-based NLP - Retriever - Retriever-Reader - Search Engines - Semantic Search - Sentence-BERT - Sentence Embeddings - Similarity queries / Vector search - Synthetic data (NLP) - Text Embeddings - Transformers - Tweet - Unsupervised Domain Adaptation (NLP) - Unsupervised machine learning - Vector database - Word embeddings - Zero shot -

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NLP based IR

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3 Documents (Liste longue)

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 A propos

Alex sur Twitter : how you can leverage both @Cohere and @Pinecone libraries to quickly build a POC Arxiv search

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2022-12-01 A propos

NLP Based Information Retrieval System | by Nikhil Sharma | Towards Data Science

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2021-01-27 A propos

Propriétés

sl:creationDate : 2019-12-01
sl:creationTime : 2019-12-01T23:30:40Z
rdf:type : sl:Tag
skos:altLabel :
- NLP based Information Retrieval@en
- AI & IR@en
skos:prefLabel : NLP based IR@en