The Enterprise RAG Solution Accelerator (GPT-RAG) offers a robust architecture tailored for enterprise-grade deployment of the RAG pattern. It ensures grounded responses and is built on Zero-trust security and Responsible AI, ensuring availability, scalability, and auditability. Ideal for organizations ...
This Orchestrator is part of the Enterprise RAG (GPT-RAG) Solution Accelerator. To learn more about the Enterprise RAG, please go to https://aka.ms/gpt-rag. Cloud Deployment To deploy the orchestrator in the cloud for the first time, please follow the deployment instructions provided in the...
✨ 3: GraphRAG Accelerator ✨ 4: GPT-API-free ✨ 5: Anole ✨ 1: Digital Human Intelligent Dialogue System Linly-Talker是一个集成多种AI技术、支持图像和语音的智能交互对话系统。 Digital Human Intelligent Dialogue System,即数字人智能对话系统,是一个集成了最新人工智能技术的创新平台。该系统通过...
我们研究的主要发现包括使用代理自动选择知识源的影响以及噪声块对 RAG 推理的影响。此外,我们进行了详细的实验来分析各种超参数对 RAG 性能的影响。为了支持进一步的研究,我们已公开提供我们的结果、相关代码和 CRAG 数据集的解析版本\footnote{this https URL},为 RAG 方法的进步做出了贡献,并为该领域的未来工作奠定...
第二篇论文是《Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks》,本文提出了 RAG(Retrieval-Augmented Generation),它能结合预训练语言模型和外部知识,来实现开放域生成式问答及其他知识密集型任务。 RGA 运行过程分为两个阶段:chunking(也称为检索)阶段以及查询阶段: ...
UPDATE: I have built some examples of how to build these RAG pattern applications for you to look at. We have one that combines Azure Cosmos DB & Azure Cognitive Search with Azure OpenAI Service for ourVector Search & AI Assistant solution acceleratorand reference application. I have also buil...
CUDA MODE的内存计算硬件:SK Hynix 开发了GDDR6 Accelerator-in-Memory卡 ,使用Xilinx Virtex FPGAs 和特殊的GDDR6 AiM包。source Latent Space的ChatGPT 9月模型改进 :最新的ChatGPT-4o (20240903) 模型在整体性能、风格控制、硬提示和多轮交互方面显著改进。source Cohere的安全模式测试版发布:Cohere Chat API ...
荐GitHub Accelerator 2024扶持11个开源 AI 项目 推动技术创新 GitHub最新宣布了其2024年加速器计划,将支持11个前沿的开源人工智能项目。这些入选项目涵盖了机器学习框架、生物医学研究、AI模型测试平台等多个领域,旨在推动AI技术的创新和应用。其目标是促进和传播RAG技术在LLM中的使用。
A Solution Accelerator for the RAG pattern running in Azure, using Azure AI Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences. This includes most common requirements and best practices. - Azure-Samples
RAG is a class of LLM applications that use external data to augment the LLM’s context.Limitation of Large Language Models As the usage of Large Language Models exploded, some of the prominent weakness of the system became bottleneck for utilizing it in the enterprise space. Even though these...