STORM(Stanford Open-source RAG Model)是由斯坦福大学开发的面向学术研究的RAG框架。尽管其Star数量可能不及某些其他框架,但STORM依托顶尖高校的科研实力 ...

在人工智能领域，2024年ACL会议带来了令人瞩目的进展，特别是在检索增强生成（Retrieval-Augmented Generation, RAG）技术方面。该技术通过结合检索和生成，旨在提升大型语言模型（LLMs）在复杂任务中的性能。本篇文章将深入解读几篇重要论文，探讨其研究成果及未来发展趋势。

能达到与无 RAG 模型相似的效率。在用户输入长度为 50 而 prompt 总长度为 32K 的极端情况下，block-attention model 的首字延时（Time To First Token, TTFT ...

In business, training AI models and targeting their applications in the marketplace is a double-edged sword; one edge doesn't ...

Organizations have already started upgrading from vanilla RAG pipelines to agentic RAG, thanks to the wide availability of large language models with function calling capabilities and new agentic ...

Enterprises want to use RAG systems to search for more than just text files, multimodal embeddings models help them do that.

As the demands for nuanced, complex, and adaptive AI systems grow, the traditional RAG approach is reaching its limitations.