Semanlink - Information retrieval: techniques AND Fine-tuning

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Arxiv Doc - Cannibalizing LLMs - Dense retriever - Domain adaptation - Embedding Model Fine-tuning - Embeddings in Information Retrieval - Fine-tuning - Good - LLM - Neo4j - Nils Reimers - RAG (Retrieval-Augmented Generation) - Searching by description - Synthetic Data - Text Embeddings - Tweet - Yoav Goldberg -

Information retrieval: techniques AND Fine-tuning

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LLM Fine-tuning vs RAG

6 Documents

LlamaIndex 🦙 sur X : "RAFT - Retrieval Augmented Fine Tuning..."

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2024-03-28 About

Fine-Tuning Your Embedding Model to Maximize Relevance Retrieval in RAG Pipeline | by Wenqi Glantz | Sep, 2023 | Better Programming

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2023-09-13 About

Jerry Liu sur X : "One major way to improve your RAG system is to fine-tune your embedding model"

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2023-08-25 About

Knowledge Graphs & LLMs: Fine-Tuning Vs. Retrieval-Augmented Generation | by Tomaz Bratanic | Neo4j Developer Blog (June 6 2023)

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2023-08-13 About

[2305.12517] Retrieving Texts based on Abstract Descriptions

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2023-06-15 About

[2205.11498] Domain Adaptation for Memory-Efficient Dense Retrieval

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2022-09-26 About