Function Calling for Enhanced Interactivity(功能调用增强互动性):功能调用 API 的集成使 RAG 系统能够与外部数据源和服务互动,提供最新的相关信息。 Interactive Question-Answering(交互式问答):该功能使用户能够用自然语言提问,然后系统会使用向量搜索来处理这些问题,找到最相关的信息,然后使用 GPT-3.5 或 GPT-4 等...
7、把RAG看做是Chat-Search 基于RAG的交互搜索,有几个好处: Enhanced Accuracy and Relevance/增强的准确性和相关性:通过直接从检索到的高质量文档中提取内容,RAG 确保生成的响应不仅准确地反映这些来源的内容,而且还保持与原始查询的高度相关性。 Overall Coherence/整体连贯性:RAG 模型了解从整个检索到的文档中获得...
检索增强Transformer(Retrieval-Enhanced Transformer,RETRO) 采用了类似的模式,它结合了冻结的BERT检索器、可微分编码器和分块交叉注意力机制来生成输出。不同的是,RETRO在整个预训练阶段进行检索操作,而不仅仅是在推理期间。此外,它基于输入的块检索相关文档。这样允许在生成过程中进行更细致、重复的检索,而不是每个查询...
Dynamic Retrieval Strategy(动态检索策略):用户可以随时调整检索参数,如块大小或来源数量,以优化特定查询的结果。 Function Calling for Enhanced Interactivity(功能调用增强互动性):功能调用 API 的集成使 RAG 系统能够与外部数据源和服务互动,提供最新的相关信息。 Interactive Question-Answering(交互式问答):该功能使用...
eFLM-16B. To evaluate the effect of using domain-specific knowledge data (Section 4.2), we apply the FreeLM teacher signals [25] to enhance FLM. Due to computational cost, we incorporate the teacher signals only in the smallest 16B model. This knowledge-enhanced FLM-16B is named eFLM-16B....
为了量化模型幻觉,Lee, et al. 的论文《Factuality Enhanced Language Models for Open-Ended Text Generation》引入了一个新的基准数据集 FactualityPrompt,其中包含事实性和非事实性的 prompt,而其检验事实性的基础是将维基百科文档或句子用作知识库。维基百科文档是很多数据集的事实来源,比如 FEVER 数据集;而句子则...
The retrieval-enhanced directive fine-tuning updates the LLM, guiding it to make more efficient use of the information re-trieved and to disregard distracting content. 通过协同微调检索器和生成器,我们可以增强模型的泛化能力,并避免单独训练它们可能产生的过拟合。然而,联合微调也会导致资源消耗增加。RA-...
Enhanced personalization for customers with live resolutions using real-world input such as interpreting photos of product issues. Leading Multimodal LLM AI products Unquestionably there is considerable attention on OpenAI — and now multimodal LLM AI — in the GenAI space. Despite this, OpenAI’s Cha...
Enhanced customer experience: LLMs can be used to create more personalized and engaging customer experiences. Future Scope of Large Language Model ( LLMs) We are entering an era of transformation where access to information, content creation, customer service, and business operations will be fundamen...
引用GraphRAG: Advanced Data Retrieval for Enhanced Insights文中表述: 1\. Complex Information Traversal: It excels at connecting different pieces of information to provide new, synthesized insights.2. Holistic Understanding: It performs better at understanding and summarizing large data collections, offeri...