The process of constructing a knowledge graph is a continuous iterative process that combines human and machine efforts, primarily driven by machine learning, alongside expert definitions and corrections. The work requiring human intervention includes Schema definition, preparation of partially structured knowledge, and verification of machine learning results. Based on user feedback, the increase and update … Read more
1 Overview The concept of knowledge graphs was first proposed by Google on May 17, 2012, aiming to describe concepts, entities, events, and their relationships in the objective world, serving as a core foundation for building the next generation of intelligent search engines. In simple terms, a knowledge graph is a network of relationships formed … Read more
The process of constructing a knowledge graph is a continuous iterative process that combines human and machine efforts, primarily driven by machine learning, with expert definitions and corrections. The work requiring human intervention includes schema definition, preparation of partially structured knowledge, and verification of machine learning results. Based on user feedback, the increase and update … Read more
The process of constructing a knowledge graph is a continuous iterative process that combines human and machine efforts, primarily driven by machine learning, complemented by expert definition and correction. The tasks requiring human intervention include schema definition, preparation of partially structured knowledge, and verification of machine learning results. Based on user feedback, as well as … Read more
Highly Recommended: Application of Knowledge Graphs and AI Large Language Models in the New Form of Digital Teaching for University Teachers The process of constructing a knowledge graph is a continuous iterative process that combines human and machine, primarily driven by machine learning, along with expert definitions and corrections. The tasks requiring human intervention include … Read more
Introduction to LlamaIndex and LangChain, and a comparative analysis of the two. Long press to follow “AI Technology Talks” This article introduces the core mechanisms of LlamaIndex and compares its main differences with the LangChain framework. It will demonstrate how to integrate these frameworks into end-to-end projects to fully leverage the potential of large language … Read more
Anthropic has open-sourced a revolutionary new protocol—MCP (Model Context Protocol)—which aims to completely address the pain points of connecting data in LLM applications! Its goal is to enable cutting-edge models to generate better and more relevant responses. No longer will you need to write custom integration code for each data source; MCP handles it all … Read more
1. DeepSeek is a Python library Install the library First, ensure your Python environment is properly configured (you can do this in VSCode by creating a virtual environment, etc.). Use pip install deepseek – your – specific – version (if there are specific version requirements) to install the DeepSeek library. Import and use in your … Read more
Authorized Reprint by Author Author: Li Wenzhe Excerpt from: Inclusive Big Data Center Introduction The Knowledge Graph is currently a hot research topic. Since Google launched its first version of the Knowledge Graph in 2012, it has sparked a wave of interest in both academia and industry. Major internet companies quickly launched their own Knowledge … Read more
Better integration and exploration of industry data is expected to provide new possibilities for the development of multimodal large models in vertical fields. How can the traditional research advantages of Hong Kong connect with industrial opportunities, and how can international channels collaborate with local resources? By｜《财经》special correspondent in Hong Kong, Jiao Jian Editor｜Su Qi The … Read more