LinkedIn Data Scraper: Open-Source Tool for Professional Research & Analysis

21 days ago 高效码农

LinkedIn Data Scraper: Open-Source Tool for Professional Research and Analysis Why Automate LinkedIn Data Collection? In today’s data-driven professional landscape, access to accurate employment histories, company profiles, and job market trends provides critical business intelligence. The LinkedIn Scraper project offers a technical solution for researchers, HR analysts, and market strategists seeking structured data extraction from public LinkedIn profiles and company pages. This open-source tool enables systematic collection of professional information while maintaining compliance with platform usage policies. Key Features at a Glance Capability Data Types Available Practical Applications Personal Profiles Career history, education, skills Talent mapping, competitive analysis Company Information …

Mastering Kimi K2 VS Code Integration: A Step-by-Step Guide for Developers

21 days ago 高效码农

Getting Started with Kimi K2 in VS Code: A Practical Walk-Through for Every Coder Kimi K2 is a new, open-source artificial-intelligence model developed by Moonshot AI. It contains one trillion parameters, yet it runs efficiently thanks to a design called Mixture-of-Experts (MoE). In plain English, this means only the parts of the model that are actually needed for your request are used at any given moment, making it both powerful and surprisingly light on hardware. This guide walks you—step by step—through installing the free Cline extension in Microsoft Visual Studio Code (VS Code) and connecting it to Kimi K2. By …

OLMo 2: Revolutionizing Open-Source Language Models with EEAT-Optimized Efficiency

21 days ago 高效码农

OLMo 2: 2025’s Open-Source Language Model Benchmark  TL;DR (200 words) OLMo 2 7B/13B models achieve 40% better training efficiency at 6M FLOPs, with GSM8K math accuracy reaching 67.5% (7B) and 75.1% (13B)[citation:2][citation:6]. The Dolmino Mix 1124 strategy boosts math capabilities by 300% through strategic data blending[citation:2][citation:9]. Architectural innovations (QK-norm + RMSNorm) improve training stability by 85% and reduce gradient spikes by 92%[citation:3][citation:7]. Inference speed exceeds Llama 3.1 by 18% while maintaining comparable performance[citation:6][citation:10]. Training efficiency comparison: OLMo 2 vs equivalent open-source models 1. Architectural Innovations (Core Keyword: Open-Source Language Model/Architecture Optimization) 1.1 Dynamic Architecture Upgrades OLMo 2 retains a decoder-only …

AutoCimKG: Automated Knowledge Graph Construction for Expert Tracking & Incremental Maintenance

21 days ago 高效码农

AutoCimKG: Automatic Construction and Incremental Maintenance of Knowledge Graphs In a world overflowing with data, organizations face the daunting task of organizing and understanding vast amounts of information. Whether it’s tracking employee skills, mapping research expertise, or connecting documents to their authors, making sense of it all can feel overwhelming. Knowledge Graphs (KGs) offer a solution by structuring information into a network of connected entities—think of it as a map that shows how people, skills, and documents relate to one another. But building and updating these graphs manually is time-consuming and impractical, especially as data keeps growing. That’s where AutoCimKG …

12306 MCP Server: Build Your Own Train Ticket Bot in 10 Minutes

21 days ago 高效码农

Build Your Own 12306 Train-Ticket Bot in 10 Minutes A step-by-step English guide to the open-source 12306 MCP Server—no prior railway API experience required. Why You Should Keep Reading Have you ever: wished you could check Chinese train tickets without opening the 12306 app? needed real-time seat availability for a travel-assistant bot? been told by your product manager, “Just plug railway data into our AI agent—by next Friday”? This post walks you through one single repository that solves all three problems. Everything here is taken straight from the official project page; nothing is added from outside sources. 1. What Exactly …

UTCP Explained: How to Let AI Call APIs Directly Without Middlemen

21 days ago 高效码农

Stop Building Middlemen: Let AI Call Your APIs Directly with UTCP direct-call If you have ever asked a voice assistant for the weather and waited three extra seconds for the answer, you have felt the pain of “wrapper servers.” These invisible middlemen translate the assistant’s question into an API call, then translate the answer back again. Universal Tool Calling Protocol (UTCP) removes that extra hop. It gives large language models, chatbots, or any other client a plain-English instruction manual that says: “Here is the tool.” “Here is its real endpoint.” “Here is how you call it directly.” After the client …

Voxtral Speech Model: Revolutionizing Voice Tech with Open-Source Power and Unmatched Accuracy

21 days ago 高效码农

Voxtral: The Speech Model That Lets You Talk to Your Code, Your Data, and the World Voice was our first user interface. Long before keyboards, touchscreens, or even writing, we spoke—and others listened. Today, as software grows ever more powerful, voice is making a quiet but steady comeback. The problem is that most of today’s speech systems are either 「open-source but brittle」 or 「accurate but expensive and locked away in proprietary clouds」. Mistral’s new 「Voxtral」 family closes that gap. Available in two sizes—「24-billion parameters for production」 and 「3-billion parameters for laptops or edge devices」—Voxtral is released under the permissive 「Apache …

DeSTA2.5-Audio: Pioneering General-Purpose Large Audio Language Models with Self-Generated Cross-Modal Alignment

21 days ago 高效码农

DeSTA2.5-Audio: Pioneering the Future of General-Purpose Large Audio Language Models In the rapidly evolving landscape of artificial intelligence, the quest for models capable of robust auditory perception and precise instruction-following has gained significant momentum. DeSTA2.5-Audio, a cutting-edge Large Audio Language Model (LALM), stands at the forefront of this innovation. Designed to transcend the limitations of task-specific audio instruction-tuning, DeSTA2.5-Audio leverages a self-generated cross-modal alignment strategy, marking a paradigm shift in how we approach audio-linguistic understanding. The Genesis of DeSTA2.5-Audio The development of DeSTA2.5-Audio was driven by the recognition that existing LALMs often suffered from catastrophic forgetting. This phenomenon occurs when …

Cheating Daddy: The Invisible AI Meeting Assistant Revolutionizing Real-Time Professional Support

21 days ago 高效码农

The Invisible Meeting Assistant: How Cheating Daddy Provides Real-Time AI Support During Critical Conversations Have you ever faced that heart-stopping moment during a video interview when your mind goes completely blank? Or struggled to respond to unexpected questions in high-stakes negotiations? Traditional solutions fail us in these critical scenarios – you can’t obviously search for answers without damaging your credibility. Cheating Daddy, an innovative open-source project, solves this dilemma by delivering discreet, real-time AI assistance exactly when you need it most. Core Innovation: Powered by Google’s Gemini 2.0 Flash Live technology, Cheating Daddy analyzes your screen content and conversation audio …

Reward Model Training Breakthrough: How Skywork-Reward-V2 Redefines AI Alignment Through Data Quality

22 days ago 高效码农

Reward Model Training Breakthrough: How Skywork-Reward-V2 Enhances AI Alignment Through Data Quality 1. From Chatbots to Intelligent Assistants: Why Reward Models Matter? When using AI assistants, have you ever wondered how they judge which response is better? Just like teachers need scoring rubrics for essays, AI systems require a “scorer” to evaluate answer quality. This critical component is the reward model (Reward Model). 1.1 The Triple Role of Reward Models Referee: Acts as a judge giving scores to different AI responses during Reinforcement Learning from Human Feedback (RLHF) Translator: Converts vague human preferences (e.g., “this answer is more professional”) into …

TayFCS Framework Revolutionizes Feature Combination Selection in Depth Recommendation Systems

22 days ago 高效码农

Depth Recommendation Systems and Feature Combination Selection: Unleashing the Power of TayFCS In today’s digital landscape, where information is vast and attention spans are short, depth recommendation systems (DRS) have become pivotal in delivering personalized user experiences. From streaming platforms curating your next watchlist to e-commerce sites suggesting products that align with your preferences, these systems are the backbone of personalized content delivery. But have you ever wondered what makes these recommendations so spot-on? The answer lies in how these systems model and understand the complex interactions between users and items. Today, we’re diving deep into a crucial aspect of …

GitHub Release Monitor: Never Miss an Open-Source Update Again

22 days ago 高效码农

GitHub Release Monitor: A Friendly, End-to-End Guide to Never Missing an Open-Source Release Again Imagine waking up to a concise e-mail that reads: “React 18.3.0 stable is out—changelog here.” No browser tabs, no frantic Twitter scrolling, no missed security patches. This post shows you—step by step—how to make that happen. Table of Contents What Exactly Is GitHub Release Monitor? Core Features at a Glance Tech Stack for the Curious Docker-Compose Deployment (Recommended) Single-Container Quick Start Manual Installation First-Time Tour of the Interface Configuration Recipes for Common Scenarios Troubleshooting Checklist Frequently Asked Questions Extending the Tool Final Thoughts 1. What Exactly …

How the HIPHOP Model Revolutionizes Session-Based Recommendations with AI Semantics

22 days ago 高效码农

How HIPHOP Model Transforms Session-Based Recommendations Using AI Semantics In today’s digital world, recommendation systems act as personal guides, helping users discover products, videos, and content tailored to their interests. Session-based recommendation (SBR) systems are particularly crucial in scenarios like e-commerce or video streaming, where user identities are anonymous, and only short interaction sequences are available. However, existing SBR models face significant limitations. This article explores how the HIPHOP model—a groundbreaking approach—addresses these challenges to deliver more accurate and personalized recommendations. The Challenges of Traditional Session-Based Recommendations Before diving into HIPHOP, let’s understand the problems it solves: 1. Ignoring Cross-Session …

How to Run Kimi K2 at Home: A Non-Expert’s 10-Minute Guide

22 days ago 高效码农

Running Kimi K2 at Home: A 3,000-Word Practical Guide for Non-Experts What does it actually take to run a one-trillion-parameter model on your own hardware, without hype, without shortcuts, and without a data-center budget? This article walks you through every step—from hardware checklists to copy-paste commands—using only the official facts released by Moonshot AI and Unsloth. 1. What Exactly Is Kimi K2? Kimi K2 is currently the largest open-source dense-or-MoE model available. Parameter count: 1 T (one trillion) Original size: 1.09 TB Quantized size: 245 GB after Unsloth Dynamic 1.8-bit compression—an 80 % reduction Claimed capability: new state-of-the-art on knowledge, …

DLoRAL Revolutionizes Video Super-Resolution: 10x Faster Enhancement with Dual LoRA Architecture

22 days ago 高效码农

One-Step Video Super-Resolution with DLoRAL: Achieving High Detail and Temporal Consistency Revolutionary framework from The Hong Kong Polytechnic University and OPPO Research Institute enables efficient high-quality video enhancement The Fundamental Challenge of Video Enhancement Video super-resolution (VSR) technology aims to reconstruct high-quality footage from low-resolution sources—a critical need for restoring historical archives, improving surveillance footage, and enhancing streaming quality. Traditional approaches face two persistent challenges: Detail Preservation: Existing methods often produce blurred or oversimplified textures Temporal Consistency: Frame-by-frame processing creates flickering and motion artifacts The breakthrough DLoRAL framework addresses both limitations simultaneously. Developed through a collaboration between The Hong Kong …

Amazon Kiro: Transforming AI-Generated Code into Maintainable Software for Junior Developers

22 days ago 高效码农

From Prototype to Production: How Amazon’s Kiro Turns AI-Generated Code into Maintainable Software “ A plain-language guide for junior college graduates who want to ship AI-built apps without the usual chaos. 1. The Problem We All Face Picture the last time you asked an AI assistant to “build a small e-commerce site.” You typed a prompt, waited a few seconds, and—magic!—a working application appeared in your browser. It felt great … until you tried to: Explain what the code actually does to your teammate Extend the feature set without breaking everything Deploy to production without crossing your fingers The truth …

WebHook Notifier: Automate Git & RSS Alerts with Zero Manual Checks

22 days ago 高效码农

WebHook Notifier: Your Guide to Automated Git and RSS Notifications In a world where staying updated is key, tools that simplify notifications can make a big difference. Whether you’re a developer tracking code changes or someone who loves following blog updates, WebHook Notifier offers a practical solution. This self-hosted tool listens for Git push events and RSS feed updates, then sends clear, concise messages to platforms like Telegram, email, or QQ. This guide walks you through everything you need to know about WebHook Notifier—what it does, how to set it up, and how to use it effectively. Built from a …

Mercury: Revolutionizing Code Generation with Diffusion-Based Models

22 days ago 高效码农

Mercury: An Analysis of High-Performance Code Generation Language Models Based on Diffusion Models “ Technical Interpretation, July 8, 2025: This article analyzes Inception Labs’ breakthrough diffusion-based large language model for code generation, based on the latest Mercury technical report. 1. Technical Breakthrough: Application of Diffusion Models in Language Generation The most significant innovation of the Mercury model is applying diffusion models to large-scale language generation tasks[citation:1]. Unlike traditional autoregressive models (such as the GPT series) that generate tokens one by one, Mercury employs a parallel generation mechanism: Technical Principle Comparison: Generation Method Autoregressive Models (e.g., GPT) Mercury Diffusion Model Generation …

Revolutionizing Brand Protection with Semantic AI Analysis: The Future of Cybersecurity

23 days ago 高效码农

How Semantic AI Analysis Revolutionizes Brand Protection: A Technical Deep Dive “ When cybercriminals register domains like secure-tui-login[.]com or nl-ottoshop[.]nl, why do traditional security systems fail to detect them? This article reveals critical vulnerabilities in digital brand protection and introduces an AI-powered solution that thinks like human analysts. The Hidden Flaw in Traditional Brand Security Through years of threat intelligence work, I’ve uncovered a startling industry reality: most brand protection tools rely on oversimplified filtering rules. One major platform uses this detection logic: automatically discard any domain that doesn’t begin or end with the exact brand name. This shortcut reduces …

MCP Toolbox for Databases: Revolutionizing Secure AI Agent Database Integration

23 days ago 高效码农

Google Open-Sources MCP Toolbox: Secure and Efficient Database Access for AI Agents Database Integration The Database Access Challenge for AI Systems Modern AI applications rely heavily on database connectivity for real-time decision making. Whether handling customer inquiries, generating business reports, or monitoring systems, AI agents require seamless database access. Yet direct connections between large language models (LLMs) and SQL databases present significant challenges: Security vulnerabilities from potential SQL injection attacks Connection management issues under high-load conditions Credential exposure risks when hardcoding authentication details Schema incompatibility leading to invalid query generation Google’s open-source MCP Toolbox for Databases directly addresses these challenges. …