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Public Reading Hub
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FastAPILLMReactAI安全ClaudeMLOpsPythonRAG
Recommended Reads
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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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全球演唱会票价预测系统：基于XGBoost的端到端机器学习解决方案
本文介绍了一个完整的演唱会票价智能预测系统，结合XGBoost、Scikit-learn和Streamlit技术栈，实现从数据探索到交互式仪表板的全流程机器学习应用。
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.
Curai: A Topic-Oriented Multi-User LLM Collaboration Platform
An open-source LLM workspace built with FastAPI and React, supporting topic-based chat, tool calling, transcription, and note-taking features, with an emphasis on data security and local deployment.
VAST Lite: A Miniature Implementation of an Event-Driven Agent Data Intelligence Platform
A working miniature implementation of the VAST Data AI operating system, demonstrating core features such as event-driven data ingestion, automatic chunking and embedding, a four-agent Claude workflow, and enabling source-based Q&A, citation verification, and self-check functions.
Velora: Adaptive Hybrid LLM Routing and Token-Efficient Execution Inference Engine
An adaptive AI inference engine that dynamically selects the optimal inference path among multiple models via smart hybrid LLM routing and token-efficient execution strategies, achieving the best balance between performance and cost.
Anuj AI Lab: Open Source Practical Guide to Building Production-Grade AI Systems from Scratch
A comprehensive open-source project that provides a complete guide to building production-grade AI systems from scratch, covering cutting-edge technical areas such as RAG applications, multimodal agents, and autonomous AI workflows. It is suitable for developers who wish to deeply understand AI engineering practices.
RLVR Safety Dynamics Audit: Detecting Instrumental Convergence in Open-Source Reasoning Models
A reproducible small-scale audit project designed to detect instrumental convergence behaviors in current open-source reasoning models and RLVR (Reinforcement Learning Validation Reward) series models, helping identify potential dangerous tendencies of AI systems when pursuing goals.
Transparent State Graph Reasoning Model: An Interpretable AI Solution for Visualizing Complex Decision Paths
An interpretable reasoning model based on state graphs, which visualizes complex decision-making processes as state transition graphs to make AI's reasoning paths transparent, helping users understand and verify the decision logic of AI systems.
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