The Rise Of Retrieval-Augmented Generation
RAG is changing the face of generative AI by aggregating retrieval and generation to bring out precise, pertinent and ...
HealthTech5d
How Does Retrieval-Augmented Generation (RAG) Support Healthcare AI Initiatives?
RAG takes large language models a step further by drawing on trusted sources of domain-specific information. This brings ...
InfoQ13d
Google Vertex AI Provides RAG Engine for Large Language Model Grounding
Vertex AI RAG Engine is a managed orchestration service aimed to make it easier to connect large language models (LLMs) to ...
无需训练，性能提升100%！谷歌提出CoA「智能体链」，多LLM协作搞定长文本
【新智元导读】谷歌提出了多智能体协作的新方法「智能体链」（Chain-of-Agents），超越传统方法，多个任务高出10%的性能，特别是处理长文本相较于基线提升高达100%。甚至无需训练，可与多种LLM模型协同工作。
Security Boulevard2d
RAG evaluation series: validating the RAG performance of Amazon Titan vs Cohere using Amazon Bedrock
This is the fourth installment in a multi-part series on evaluating various RAG systems using Tonic Validate, a RAG ...
SEOs Are Recommending Structured Data For AI Search… Why?
A post on LinkedIn called into question the idea that Schema structured data can be used for ranking in AI search ...
Anthropic builds RAG directly into Claude models with new Citations API
"When Citations is enabled, the API processes user-provided source documents (PDF documents and plaintext files) by chunking ...
腾讯网10d
Web开发29年，中年程序员编写AI应用：“减少LLM的工作量，自己多写点代码！”
【CSDN 编者按】大型语言模型（LLM）技术迅猛发展，关于它们能否替代人类工作者的讨论愈发热烈。本文作者自 1996 年开始便一直从事 Web 开发，他通过自己编写 AI 应用的经验，深入探讨了 LLM ...
腾讯网2d
无需训练，性能提升100%！谷歌CoA「智能体链」，多LLM协作搞定长文本
1. 谷歌提出了多智能体协作的新方法「智能体链」 (Chain-of-Agents)，在长文本处理任务上性能显著提升。 2. 与传统方法相比，CoA在多个LLM之间利用自然语言进行信息汇聚和上下文推理，时间复杂度从平方复杂度降到了线性复杂度。