Delphi Consulting LLC's offer aims to provide organizations with an innovative and efficient solution for leveraging Azure OpenAI GPT technology to enhance user interactions and streamline processes. Delphi Consulting LLC has designed a transformative Knowledge-based Azure O...
Delphi Consulting LLC has designed a transformative Knowledge-based Azure OpenAI GPT-Powered Enterprise Solution which excels in providing rapid, efficient, and context-aware responses. Our solution addresses the need for scalability and accessibility, ensuring a seamless use...
Knowledge-based visual question answering (VQA) involves answering questions that require external knowledge not present in the image. Existing methods first retrieve knowledge from external resources, then reason over the selected knowledge, the input image, and question for answ...
基于向量数据库与GPT3.5的通用本地知识库方案 (A universal local knowledge base solution based on vector database and GPT3.5) - gemnioo/document.ai
FastGPT is a knowledge-based platform built on the LLMs, offers a comprehensive suite of out-of-the-box capabilities such as data processing, RAG retrieval, and visual AI workflow orchestration, letting you easily develop and deploy complex question-answ
Captions, for knowledge-based VQA. Inspired by GPT-3’s power in knowledge retrieval and question answering, instead of using structured KBs as in previous work, we treat GPT-3 as an implicit and unstructured KB that can jointly acquire and process relevant knowledge. Specifically, ...
AskNatureGPT: an LLM-driven concept generation method based on bio-inspired design knowledgeLiuqing ChenZebin CaiWengteng CheangQi LongLingyun SunPeter ChildsHaoyu Zuo
提出PICa:通过使用 Image Caption 来提示 GPT3 ,并用于 Knowledge-based VQA 任务 将GPT-3 视为一个隐式和非结构化的知识库,可以同时获取和处理相关知识,而不是像以前的工作那样使用结构化知识库。具体来说: 首先,将图像转变为 GPT3 能理解的字幕 然后,通过提供一些上下文情景的 VQA 示例来调整GPT-3以快速解...
In essence, this research seeks to contribute a novel and comprehensive methodology to the growing body of knowledge addressing the challenges posed by data scarcity in the medical domain [1,2,10]. According to the literature and to the best of our knowledge, this is the first study to gener...
2. 知识引导的数据生成:通过 Knowledge-based Self-Instruct 方式基于中文法律结构化知识生成数据。 3. 引入 ChatGPT 清洗数据,辅助构造高质量数据集。 部署好了之后,可以直接问诸如「酒驾撞人怎么判刑?」「请介绍赌博罪的定义。」「你能否写一段抢劫罪罪名的案情描述?」之类的问题。