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SignalCut: An Intelligent Tool for Turning AI Search Visibility Gaps into Video Marketing Campaigns
SignalCut is an innovative web application that analyzes brands' visibility gaps in AI search, automatically generates evidence-based marketing strategies, and creates Hera video materials, helping early-stage brands gain a competitive edge in the AI answer engine era.
AI搜索AEOGEO视频营销内容生成
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Nornir MCP Server: An Enterprise-Grade Bridge for Integrating Large Language Models into Network Automation
Nornir MCP Server is an enterprise-level server based on the Model Context Protocol (MCP). It seamlessly integrates large language models (such as Claude) with the Nornir network automation framework, supporting natural language orchestration for multi-vendor network devices (Cisco, Arista, Juniper, etc.), and providing production-grade features like a dual-engine architecture (NAPALM + Netmiko), intelligent filtering, and a secure sandbox.
Bibliothèque Française LLM: A French Public Domain Literature Index System Optimized for Large Language Models
Bibliothèque Française LLM is a structured indexing and annotation project for French public domain literature designed specifically for large language models (LLMs). It integrates multiple authoritative sources such as DraCor, Common Corpus, and Wikisource, providing metadata indexing categorized by genre, author, and era, as well as in-depth annotations for dramatic texts (including characters, lines, stage directions, etc.). Its aim is to enable LLMs to efficiently read and understand classic French literary works.
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Multi-class Prediction for Credit Scoring: A Machine Learning Solution Based on Random Forest and CatBoost
This article introduces a multi-class credit scoring project that uses Random Forest and CatBoost algorithms to build prediction models, classifying customers into different credit levels.
AI Cyber Shield: AI Cybersecurity Protection Knowledge Base
This article introduces the AI Cyber Shield project, an open AI cybersecurity protection knowledge base covering AI security architecture, defense frameworks, protection technologies, and analysis notes.
Dental AI Evaluation Benchmark: A Large Language Model Evaluation Dataset for Medical Scenarios
This article introduces the Dental AI Evaluation Benchmark project, a professionally designed dataset for medical scenarios, used to systematically evaluate large language models' instruction-following ability, factual accuracy, and response quality.
Audit Copilot: An AI Intelligent Assistant Platform for Auditing and Finance
This article introduces the Audit Copilot project, a comprehensive AI platform built with FastAPI and React, integrating RAG, OCR, and large language model technologies to provide intelligent solutions for auditing, accounting, tax, and fraud detection.
RLMedNAS: Reinforcement Learning-Driven Automated Neural Architecture Search for Medical Imaging
This article introduces the RLMedNAS project, which uses reinforcement learning to automate neural architecture search in the field of medical imaging, addressing the issues of low efficiency and suboptimal structure in traditional manual design.
Warply: An Open-Source Python Control Plane for LLM Inference
Warply is an open-source Python control plane designed to simplify the deployment, routing, scaling, and observability of large language model (LLM) inference services. It converts Python service intents into executable deployment plans via declarative configurations, supports backends like SGLang and NIXL, and provides an OpenAI-compatible HTTP client interface.
Global Concert Ticket Price Prediction System: An End-to-End Machine Learning Solution Based on XGBoost
This article introduces a complete intelligent concert ticket price prediction system, which combines the XGBoost, Scikit-learn, and Streamlit tech stack to implement an end-to-end machine learning application from data exploration to interactive dashboards.
Intelligent E-commerce Analysis and Prediction System Based on the Olist Dataset
Using Python, NLP, and machine learning technologies to conduct in-depth analysis and predictive modeling on data from Brazil's Olist e-commerce platform, covering order analysis, comment sentiment analysis, and sales prediction.
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