Projects with this topic
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🛒 AI chat & product/category summaries in Amazon shopping, powered by the latest LLMsUpdated -
a self-hosted, locally-routed LLM stack with a default-deny security posture. your models. your machine. your terms.
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💬 Epic prompts to turbo-charge your LLM chatbots.Updated -
🔎 Type @brave in browser address bar to get results from Brave AIUpdated -
Ce projet consiste à concevoir un assistant juridique intelligent permettant à un utilisateur d'interagir en langage naturel avec un corpus documentaire basé sur le Code pénal sénégalais.
L'objectif est de mettre en œuvre une architecture Retrieval-Augmented Generation (RAG) afin de permettre au modèle de langage de s'appuyer sur des informations issues du corpus documentaire avant de générer une réponse.
Le projet explore ainsi l'utilisation des LLM, des embeddings et de la recherche sémantique pour construire une application capable de transformer des documents juridiques en une base de connaissances interrogeable.
Travaux réalisés :
Collecte et préparation du corpus juridique. Nettoyage et structuration des documents. Découpage des documents en unités adaptées à la recherche. Transformation des passages textuels en représentations vectorielles (embeddings). Mise en place d'un mécanisme de recherche sémantique. Récupération des passages les plus pertinents en fonction de la question utilisateur. Intégration des informations récupérées dans le contexte transmis au LLM. Génération de réponses contextualisées à partir des documents récupérés. Conception d'une interface permettant d'interagir avec l'assistant en langage naturel.Updated -
AI chat & search summaries in Google Search, powered by the latest LLMs
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OptiRank is an open-source SEO and LLM optimization tool that analyzes existing website content and provides actionable recommendations to improve search rankings, semantic clarity, and AI discoverability. Built with a modular Python backend, React dashboard, and NLP/LLM-powered analysis layer, it helps developers and site owners optimize pages for both traditional search engines and modern AI-driven search systems. https://roxanneardary.com/optirank/
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LLM Workflow Router is a stateless middleware engine designed to enforce explicit execution topology in AI systems that rely on large language models. It evaluates interaction metadata against strictly declared workflow rules and returns a terminal state.
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PersonaLock is an open source, identity-first AI platform that preserves a user's authentic voice, reasoning, values, and evidence standards across every interaction. Built around a native identity-aware language model with integrated research and writing capabilities, it archives and learns from user-approved publications while preventing drift through transparent, explainable governance. Instead of simply generating content, PersonaLock ensures every output remains faithful to the person behind it. https://roxanneardary.com/personalock/
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KiM Explorer is a two-stage RAG application for transport policy research publications from the KiM Netherlands Institute for Transport Policy Analysis. Users perform semantic search to identify relevant documents, manually select publications, then interact with an LLM using full document context rather than chunks. Built with Python/NiceGUI/OpenAI API, featuring citation generation, conversation history, filtering, and web/CLI interfaces. https://explorer.kim.rijkscloud.nl/
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A unified Python interface to select and use multiple Large Language Model (LLM) providers through a common API.
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Kevlar Benchmark: OWASP Top 10 for Agentic Apps (AI-Agents) 2026 a Red Team Benchmark.
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Model Verification Layer is a modular system for evaluating, comparing, and validating the behavior of large language models using structured benchmarks, logic consistency checks, cross-model consensus analysis, and policy-aware constraints. It provides a transparent framework for understanding how different AI models perform under identical conditions, enabling more reliable model selection, safer deployment, and user-adaptive decision making. https://roxanneardary.com/model-verification-layer/
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A diagnostic framework for measuring LLM vulnerability to Affective Contextual Erosion (ACE) and related liminal attack vectors. Delirium is not an exploitation tool. It is a standardized benchmark designed to detect the precise moment when a language model's attention weights shift from serving a system prompt to serving an emergent interpersonal pattern — before harm occurs.
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Securekit is a protocol-agnostic security kernel that enforces zero-trust, sandboxed execution for AI tool use. It sits between any LLM or agent system and its tools, validating, isolating, and auditing every action to prevent unsafe execution across MCP, OpenAI tools, and custom AI protocols. https://roxanneardary.com/securekit/
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SynapCache is a distributed, zero-memory-loss caching system for all LLM outputs, designed to be LLM-agnostic, high-performance, and scalable. It combines TurboQuant-style compression, semantic search, edge caching, and predictive intelligence to store and retrieve outputs efficiently, ensuring instant recall and minimal resource usage. With developer-friendly SDKs, plugin support, and multi-cloud deployment, SynapCache provides a universal neural memory layer for modern AI workflows. https://roxanneardary.com/synapcache/
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Paper: "A Comprehensive Evaluation of Pre-Trained Language Models for Irony Detection in Tweets"
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