Read Zed IoT Blogs
ZedIoT brings you the latest IoT industry insights, including cutting-edge IoT technologies, open-source libraries, development tools, and real-world applications across various industries. We also focus on analyzing the value of IoT data, providing you with broader perspectives and directions for learning and growth.
ZedIoT Diaries
Explore how next-generation conversational AI hardware leverages cloud-based model training and edge-side inference. Gain insights into large model optimization, hybrid inference strategies, privacy protection, and how this new paradigm drives smarter, more responsive voice-enabled devices.
How FRP (Fast Reverse Proxy) enables secure, stable, and efficient NAT traversal for IoT deployments. Learn how to integrate FRP into your IoT edge architecture, improve remote device monitoring, and achieve robust data exchange.
Tauri 2.0 Releases, it redefines cross-platform development with lightweight design, enhanced security, and unified support for desktop and mobile platforms. Discover its advantages over Electron, WPF, and QT, and explore its potential for modern applications.
Explore the pros and cons of QT, PyQT, C# WinForms, WPF, and Electron.js for host machine development. Learn about performance, cross-platform capabilities, and application scenarios to make the best technology choice.
Introduce the development of an AI-powered multifunctional milk tea machine, covering hardware design, embedded AI control systems, cloud platform architecture using EMQX, Kafka, Spark, and InfluxDB, and user interface optimization. Explore how AI hardware and IoT technologies enhance precision, efficiency, and intelligent management in modern beverage systems.
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 […]
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. […]
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.
This guide demonstrates how a healthcare company developed an internal AI-powered knowledge hub using the Dify platform. It covers the end-to-end process of data management, knowledge graph creation, AI model fine-tuning, and practical application. This solution supports smart business transformation by addressing inefficiencies in knowledge sharing and data silos. Why Build an AI Knowledge Base? […]
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.
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.
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.
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.
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.
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.
This article aims to delve into the three primary BLE connection methods: Broadcast Mode, Transparent Transmission Mode, and MESH Networking. By thoroughly analyzing the principles, application scenarios, technical specifications of each method, and how they connect with gateways, smartphones, computers, and other devices, we hope to help readers better understand the potential of BLE and choose the most suitable connection method for their specific projects.
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