《Retrieving Multimodal Information for Augmented Generation: A Survey》是一篇由新加坡南洋理工大学、新加...
现在，我们有一种特殊的技巧，叫做 "检索-增强生成"（Retrieval-Augmented Generation），简称 RAG。
Agent-Nesh is a Retrieval-Augmented Generation (RAG)-based multi-modal AI assistant that leverages advanced AI models to provide intelligent, context-aware responses to various types of input including text, images, code, and voice. This project uses the following models: Meta Llama 3 Microsoft ...
MLLM IS A STRONG RERANKER: ADVANCING MULTIMODAL RETRIEVAL-AUGMENTED GENERATION VIA KNOWLEDGE-ENHANCED RERANKING AND NOISEINJECTED TRAINING MMED-RAG: VERSATILE MULTIMODAL RAG SYSTEM FOR MEDICAL VISION LANGUAGE MODELS UniRAG: Universal Retrieval Augmentation for Multi-Modal Large Language Models ...
现在,我们有一种特殊的技巧,叫做 "检索-增强生成"(Retrieval-Augmented Generation),简称 RAG。 当机器人朋友需要回答问题或谈论具体事情时,RAG 可以从一本大的事实手册中查找信息,从而帮助它变得更加聪明。因此,它不仅仅是依靠大脑中的信息,还可以查阅这本大书,确保提供最好和最准确的答案。这就像为机器人朋友准备...
Using Retrieval Augmented Generation (RAG), Amazon Kendra passes the answer from the relevant document to the LLM within the agent. The agent identifies that it requires a second tool to answer the second part of the question. It passes information fro...
In this post, an AI-powered assistant for investment research can use both structured and unstructured data for providing context to the LLM using a Retrieval Augmented Generation (RAG) architecture, as illustrated in the following diagram.
Multi-Modal Interfaces for Future Applications of Augmented CognitionLockerd, Anna
5.Real-Time Multi-Modal AI: The development of real-time multi-modal AI systems will enable applications in augmented reality, virtual reality, and live streaming, enhancing user experiences across various domains. 6.Ethical AI Governance: The ethical considerations surrounding multi-modal AI, includi...
增强提示(Augmented Prompting):通过设计更好的提示(prompts),引导LLVMs生成创造性的解决方案。提示可以包含关于任务的特定信息,或者提供关于对象功能(affordance)的线索。 探索性创造力(Exploratory Creativity):鼓励在LLVMs的嵌入空间内进行探索,以发现新的解决方案。这可能涉及到在模型的嵌入空间中进行搜索,而不仅仅是在...