A hybrid AI honeypot for monitoring large scale web attacks
A comprehensive, professional guide explaining the differences, strengths, and best practices of Retrieval-Augmented Generation (RAG) and Fine-Tuning for LLMs, including workflows, comparisons, decision frameworks, and real-world hybrid AI use cases.
A modular toolkit for designing, analyzing, and validating hybrid AI systems using Boxology visual patterns.
Hybrid AI is the future of explainable intelligence. This article explores how combining vector search, knowledge graphs, and retrieval-augmented generation (RAG) creates AI systems that can reason, cite, and explain their answers with insights learned from building a real Graph-Powered RAG Engine.
A Hybrid AI Agent for Quantitative Football Prediction Analysis
GA + LLM hybrid framework for structured text generation and task optimization.
SymRAG adaptively routes queries through neuro-symbolic, neural, or hybrid paths based on complexity and system load, ensuring efficient and accurate RAG for diverse QA tasks.
Execution-governance layer for hybrid AI systems: route requests across local, private, and public models safely, cost-effectively, and auditably.
3-Tier hybrid AI router that orchestrates FunctionGemma-270M on-device and Gemini 2.5 Flash Lite in the cloud for 99% function-calling accuracy at 548ms avg latency. Built at the Cactus × Google DeepMind Hackathon.
Multi-AI Agent Energy Management System with HILS simulation, Hybrid AI (ML+LLM), and MCP Runtime - Real-time visualization demo for smart grid optimization
A hybrid AI assistant framework linking structural workflow engines and reasoning LLM agents through LangGraph-powered session control and task switching. 混合 AI 助手框架，通过 LangGraph 驱动的会话控制与任务切换，连接结构化工作流引擎与推理型大模型智能体。
Local UI-grounding specialist for hybrid AI agents. Qwen3-VL-2B LoRA. Screenshot + text target → strict JSON bbox. Drop-in for Claude Code, Codex, browser-use. Cuts GPT-4V cost & latency.
Turiya is a Self-Evolving Neuro-Symbolic AI that runs entirely on CPU. It learns autonomously from the web, builds a hybrid vector + logic knowledge base, performs reasoning using symbolic and neural methods, and evolves its world model through sleep-like consolidation cycles. A fully local, event-driven cognitive architecture.
Hybrid Edge-Cloud Vision-Language System (VLM) for interactive semantic grounding and robotics perception. Powered by PaliGemma 2 and Gemini 3.0.
Advanced Hybrid AI expert system for NASDAQ & Oil (WTI) ETF trading. Merges Quantitative ML, LLMs (Gemma 4, Gemini free or not), TimesFM 2.5, Visual Chart Analysis, and EIA Fundamentals for high-accuracy signals. Features dual-ticker strategy and Trading 212 execution.
Hybrid AI orchestration stack combining local LLMs (Ollama), vector search (Qdrant), and Azure AI Foundry for scalable RAG, Agentic AI, and Vision. Built with .NET 8 and Python.
Hybrid classical-quantum system for gas leak detection and drone path planning using synthetic GPLA-12 data, classical ML, and quantum-inspired optimization.
🚀 A hybrid ML-metaheuristic framework combining Graph Neural Networks (using PyG) with Ant Colony Optimization (ACO) to accelerate solving NP-hard combinatorial problems (TSP/VRP).
Aegis Agent: AI-powered support bot for authenticator apps with cloud-first L1 troubleshooting, DeepPavlov cross-check, OpenSearch log analysis, and JIRA/email escalation. Hybrid on-device AI enables offline support.
Building local and hybrid AI systems, agent workflows, and long-horizon knowledge architectures through AoA and Tree of Sophia.
Add a description, image, and links to the hybrid-ai topic page so that developers can more easily learn about it.
To associate your repository with the hybrid-ai topic, visit your repo's landing page and select "manage topics."