通过将检索与生成相结合,RAG模型为提升LLMs在各种任务中的性能和适应性提供了一个有希望的方向。 3 检索增强的大型语言模型(RA-LLMS) 在LLMs时代,RAG框架通常包括检索、生成和增强三个主要过程,以及确定是否需要检索的机制。在本节中,我们将介绍每个组件涉及的重要技术。 3.1 检索 图2:展示了特定问答任务的基本...
A Survey on RAG Meets LLMs: Towards Retrieval-Augmented Large Language Models - 走向增强检索的大型语言模型 摘要 作为人工智能中最先进的技术之一,检索增强生成(RAG)技术可以提供可靠且最新的外部知识,为众多任务提供巨大的便利。特别是在人工智能生成内容(AIGC)的时代,RAG在提供额外知识方… Snowm...发表于AI...
A survey on augmenting knowledge graphs (KGs) with large language models (LLMs): models, evaluation metrics, benchmarks, and challengesdoi:10.1007/s44163-024-00175-8Large language models (LLMs)Knowledge graphs (KGs)Retrieval augmentation generation (RAG)...
A Survey on Evaluation of LLMsby Chang et al.: Comprehensive paper about what to evaluate, where to evaluate, and how to evaluate. Chatbot Arena Leaderboardby lmsys: Elo rating of general-purpose LLMs, based on comparisons made by humans. ...
LLM-based multi-agent systems. We anticipate that our survey will serve as a foundational yet comprehensive guide for beginners in this field, providing readers with a thorough understanding of LLM-based multi-agent systems (LLM-MAS). Readers will gain insights into the fundamental modules ...
Repair Is Nearly Generation: Multilingual Program Repair with LLMs Case-based Reasoning for Natural Language Queries over Knowledge Bases RAG Pipeline Enhancement Adaptive Retrieval Rule-Baesd Active retrieval augmented generation Efficient Nearest Neighbor Language Models ...
LLMs在评估传统RAG系统的性能方面也表现出了希望,自动评估上下文相关性、可信度和答案相关性等质量(RAGAS, Es等人,2023)。 3.6 Results结果 4 Related Work相关工作 4.1 RAG Approaches and Systems方法和系统 4.2 Graphs andLLMs图与LLMs Use of graphs in connection with LLMs and RAG is a developing ...
LLM之RAG:《Retrieval-Augmented Generation for Large Language Models: A Survey大型语言模型的检索增强生成研究综述》翻译与解读 导读:这篇论文主要围绕信息检索增强生成(Retrieval Augmented Generation,简称RAG)技术进行概述和分析。 背景痛点: >> 大语言模型(LLM)在处理知识密集型任务和回答离线知识更丰富的问题时面临...
The functionality of RAG-Based AI adds context and information to improve LLMs. Join us for this immersive, hands-on session that shows how to harness the power of retrieval-augmented generation (RAG) to enhance local Large Language Models (LLMs). Developers will have the opportunity to ...
Imagine if you could do all of this with just one GPU! In this demo, we’ll show how to deploy a RAG solution using a single NVIDIA A10 GPU; an open source framework such as LangChain, LlamaIndex, Qdrant, or vLLM; and a light 7-billion-parameter LLM from Mistral AI. It’s an ...