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FastAPIGeminiLLMLSTMmachine learningMLOpsPythonReactStreamlitadversarial searchAEO
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Recommended
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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NDH Unified Cognitive Engine: An Innovative Reasoning Framework Based on Conceptual Quantum Computing
This article introduces the NDH Unified Cognitive Engine project, a unique conceptual quantum computing framework that uses conceptual qubits, tensor computing, and multi-dimensional harmonics to model complex reasoning processes, providing a novel theoretical perspective and technical tools for understanding and simulating high-complexity cognitive systems.
Hands-On Multi-Modal RAG System: A Local Document Intelligent Q&A Solution Based on Qwen2-VL and CLIP
This article introduces an open-source multi-modal Retrieval-Augmented Generation (RAG) system that combines the Qwen2-VL vision-language model and CLIP encoder. It supports mixed text-image retrieval for PDF documents and provides a complete technical solution for building localized, privacy-controllable intelligent document Q&A systems.
LLM Inference Engine Implemented Purely in Zig: A High-Performance, Lightweight Open-Source Alternative
This article introduces the SMC17/inference project, an LLM inference engine implemented from scratch using the Zig language. It supports modern optimization techniques such as paged attention, BF16 kernels, and persistent thread pools, providing developers who pursue extreme performance and controllability with a new alternative outside the Python ecosystem.
Loa Laplas: An Orchestration Engine for Compiling AI Compositions into Executable Agent Workflows
This article introduces the Loa Laplas project, an orchestration tool designed for the Loa engine. It can compile high-level AI composition descriptions into executable, gate-controlled agent workflows, providing a new solution for the development and deployment of complex AI applications.
White-box Adversarial Attacks Reveal Social Bias Vulnerabilities in Large Multimodal Models
This article introduces a white-box adversarial attack study targeting social bias issues in Large Multimodal Models (LMMs). The project provides complete code implementations, including targeted PGD attacks, universal adversarial perturbations, defense evaluation, and noise similarity analysis, serving as an important tool for AI safety research.
MediLens-AI: An Intelligent Medical Assistant System Integrating RAG Technology
MediLens-AI is a comprehensive AI medical assistant that combines machine learning-based disease prediction, Gemini-powered medical report analysis, and an RAG-driven intelligent Q&A system. It demonstrates how to safely integrate large language models with medical data, providing a technical reference for personalized health consultation.
ConnectFourAI: An Intelligent Connect Four Game Engine Based on Adversarial Search
ConnectFourAI is a modular Connect Four game engine that fully implements an AI system ranging from basic game rules to advanced adversarial search algorithms. The project includes random agents, rule-based agents, and Minimax agents with Alpha-Beta pruning, making it an excellent teaching case for understanding game tree search and competitive AI design.
BaddieVision: An Intelligent Badminton Video Analysis System Based on Computer Vision
BaddieVision is a complete badminton video analysis toolchain that integrates MediaPipe pose estimation, TrackNetV3 shuttlecock tracking, YOLO object detection, and LSTM temporal classification technologies to enable end-to-end automated analysis from raw video to tactical insights.
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