Explore building AI knowledge graphs using Dify, Coze, and RagFlow platforms. This guide covers platform selection, data input methods, and custom application development to help businesses manage knowledge effectively. 1. Key AI Platforms for Knowledge Graphs Choosing the right platform is the first step to success. Here’s an overview of popular options: Dify Coze RagFlow Graph Databases […]
Category: Blog
AI Models for Private Deployment & Knowledge Graph Construction
Discover how businesses can deploy private AI models like LLaMA 3.2, Qwen, Falcon, and MosaicML MPT to build knowledge graphs. This guide covers model selection, deployment strategies, and computing needs, helping organizations optimize their knowledge management systems. 1. Choosing the Right AI Model Private AI models balance performance, scalability, and cost. Recommended models include: 2. […]
Intelligent IoT Self-Service Machines: Cloud + Edge AI for Smarter Solutions
Explore the latest in intelligent IoT self-service machines, including core modules, cloud + edge AI architecture, advanced sensor networks, and innovative applications in smart retail, healthcare, and governance.
Building an Internal AI Knowledge Base with Dify: A Case Study of A Medical Company
Discover how a medical company built an AI knowledge base using Dify AI. Learn how Dify Platform optimizes knowledge management with AI-powered automation.
IoT in Medical Devices: Trends in Consumer and Large-Scale Equipment Management
Explore how IoT is revolutionizing medical devices, from wearable health trackers to large-scale diagnostic machines. Learn about BLE 5.2, Matter, LoRa, and AI-powered diagnostics, driving smart connectivity and efficiency in healthcare.
Analysis of Matter 1.4 Releases: Driving Interoperability in Smart Home Devices
Matter 1.4, exploring the latest technological advancements in smart homes and IoT. Covering multi-admin support, Thread and Wi-Fi integration, energy management optimization, and healthcare device integration, this article highlights how Matter enhances interoperability and energy efficiency while unveiling future smart home trends.
IoT Sensors Selection Guide: How to Choose the Right Sensor for Your IoT Application
This guide provides an in-depth overview of IoT sensor types, communication methods, and selection strategies, helping users choose the right sensors and gateway configurations for optimal IoT system deployment based on application needs.
LLM Development (3): Enhancing Business Value through Large Language Models in IoT Systems
This blog explores the integration of Large Language Models (LLMs) with Internet of Things (IoT) systems, analyzing applications, technical implementations, and strategies to maximize value. Through technical terminology, data, and case studies, we discuss how LLMs bring new opportunities to IoT, driving future trends and advancements.
LLM Development (2): Practical Guide from Data Preprocessing to Model Optimization
Large Language Models (LLMs) have made groundbreaking progress in the field of Natural Language Processing (NLP). Models like BERT and GPT-3 have achieved state-of-the-art performance across multiple NLP tasks. This guide provides a comprehensive workflow for LLM development, from data preprocessing to model optimization, targeting developers and researchers with a foundational understanding of deep learning and NLP.
LLM Development(1): Trends and Future Prospects of Large Language Models
Large Language Models (LLMs) are becoming a core driver of innovation in artificial intelligence, particularly in the field of Natural Language Processing (NLP). This article delves into the technical principles, latest development trends, challenges, and the value of LLMs across various industries.