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  1. dzone.com › articles › introduction-to-retrieval-augmented-generation-ragIntroduction to Retrieval Augmented Generation (RAG) - DZone

    Hace 16 horas · Retrieval Augmented Generation (RAG) is a potent approach that incorporates real-time data retrieval to augment the capabilities of artificial intelligence. Highly accurate and contextually ...

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  3. arxiv.org › abs › 2405CtrlA: Adaptive Retrieval-Augmented Generation via Probe-Guided...

    Hace 5 días · Retrieval-augmented generation (RAG) has emerged as a promising solution for mitigating hallucinations of large language models (LLMs) with retrieved external knowledge. Adaptive RAG enhances this approach by dynamically assessing the retrieval necessity, aiming to balance external and internal knowledge usage.

  4. www.marktechpost.com › 2024/06/02 › neurobiological-inspiration-for-ai-the-hippoNeurobiological Inspiration for AI: The HippoRAG Framework for...

    Hace 1 día · HippoRAG, a retrieval framework, has been designed to address these challenges. Inspired by neurobiological principles, particularly the hippocampal indexing theory, it enables deeper and more efficient knowledge integration. Current RAG methods provide long-term memory to LLMs, thus updating the model with new knowledge.

  5. www.gearfuse.com › understanding-retrieval-augmented-generation-ragUnderstanding Retrieval Augmented Generation (RAG) | Gearfuse

    Hace 16 horas · Retrieval Augmented Generation (RAG) represents a cutting-edge approach in the field of artificial intelligence, specifically in natural language processing.RAG enhances the capabilities of traditional language models by integrating retrieval mechanisms that fetch relevant external information to supplement the model’s responses.

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    • The Retrieval (película 2014) - Tráiler. resumen, reparto y dónde ver ...
    • Image gallery for The Retrieval - FilmAffinity
    • The Retrieval (2013)
    • The Retrieval Movie Review & Film Summary (2014) | Roger Ebert
    • The Retrieval (2013) - FilmAffinity
    • The Retrieval (2013)

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  7. arxiv.org › abs › 2405Unraveling and Mitigating Retriever Inconsistencies in Retrieval...

    Hace 3 días · Although Retrieval-Augmented Large Language Models (RALMs) demonstrate their superiority in terms of factuality, they do not consistently outperform the original retrieval-free Language Models (LMs). Our experiments reveal that this example-level performance inconsistency exists not only between retrieval-augmented and retrieval-free LM but also among different retrievers. To understand this ...

  8. dev.to › asad1 › the-future-of-information-retrieval-rag-models-vs-generalized-ai-k67The Future of Information Retrieval: RAG Models vs. Generalized...

    Hace 3 días · Retrieval-Augmented Generation (RAG) Models. RAG models combine the strengths of retrieval-based systems and generative models. They work by retrieving relevant information from a large database or corpus and then using this information to generate more accurate and contextually appropriate responses.

  9. www.geeksforgeeks.org › retrieval-augmented-generation-rag-for-knowledgeRetrieval-Augmented Generation (RAG) for Knowledge ... -...

    Hace 3 días · RAG, or Retrieval-Augmented Generation, represents a groundbreaking approach in the realm of natural language processing (NLP). By combining the strengths of retrieval and generative models, RAG delivers detailed and accurate responses to user queries. When paired with LLAMA 3, an advanced language model renowned for its nuanced understanding and s