Independent Auditing of AI Agents. Run by human or the agent itself, to answer the most crucial question in the AI Agent Economy. Is the agent doing what is supposed to do? With iFixAi you can have this answer in less than 120 seconds.
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Independent Auditing of AI Agents. Run by human or the agent itself, to answer the most crucial question in the AI Agent Economy. Is the agent doing what is supposed to do? With iFixAi you can have this answer in less than 120 seconds.
FastGPT is a knowledge-based platform built on the LLMs, offers a comprehensive suite of out-of-the-box capabilities such as data processing, RAG retrieval, and visual AI workflow orchestration, letting you easily develop and deploy complex question-answering systems without the need for extensive setup or configuration.
Peekaboo is a macOS CLI & optional MCP server that enables AI agents to capture screenshots of applications, or the entire system, with optional visual question answering through local or remote AI models.
Run local LLMs like Gemma, Qwen, and LLaMA on Android for offline, private, real-time chat and question answering with LiteRT and ONNX Runtime.
kpi is the server for KoboToolbox. It includes an API for users to access data and manage their forms, question library, sharing settings, create reports, and export data.
A source code analyzer built for surfacing features of interest and other characteristics to answer the question 'What's in the code?' quickly using static analysis with a json based rules engine. Ideal for scanning components before use or detecting feature level changes.
We introduce MKQA, an open-domain question answering evaluation set comprising 10k question-answer pairs aligned across 26 typologically diverse languages (260k question-answer pairs in total). The goal of this dataset is to provide a challenging benchmark for question answering quality across a wide set of languages. Please refer to our paper for details, MKQA: A Linguistically Diverse Benchmark for Multilingual Open Domain Question Answering
A tool collection for filtering and visualizing logon events. Designed to help answering the "Cotton Eye Joe" question (Where did you come from where did you go) in Security Incidents and Threat Hunts
Question and Answer based on Anything.
Comprehensive collection of study materials, practice exams Question, and Personally Solved Mcq to help you prepare for the AWS Certified Solutions Architect – Associate (SAA-C03) exam.
[AAAI 2024] EarthVQA: Towards Queryable Earth via Relational Reasoning-Based Remote Sensing Visual Question Answering
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Claude Code plugin that asks several AI coding agents the same question and shows their answers side by side. Gemini, OpenAI, Grok, Perplexity, Kimi and any model OpenRouter routes to over API; codex, antigravity, grok, kimi and cursor CLIs on subscription auth; ollama locally. Codex specialists take coding tasks on their own branch (experimental).
Interactive brainstorming UI for OpenCode agents - multi-question forms, decisions, and real-time feedback
IAGA Sentinel sits next to your AI agents and answers the one question the agent itself cannot.
An autonomous research colleague — from a question to a compiled manuscript, while you sleep.
Free offline AI assistant for Windows — reads your screen, hears your question, speaks the answer. No API key, runs locally with Ollama.
本地化高中数学题库管理系统,支持 LaTeX 实时渲染、智能大模型 AI 解析与 OCR 公式识别。Localized High School Math Question Bank Management System, supporting real-time LaTeX rendering, smart LLM AI parsing & solving, and formula OCR recognition.
A tiny ~10K-parameter LLM router that learns which open-source model (deepseek-v4-pro / glm-5p2 / kimi-k2p6 via Fireworks) should answer each question and in what role, trained by evolution (sep-CMA-ES).
Interview questions and prep for AI Engineer, LLM Engineer, and Applied AI roles. Built for software engineers breaking into AI and ML practitioners levelling up: company-specific question sets, role-based study maps, worked answers, and from-scratch coding challenges.
RAG ReAct Agent - A Retrieval-Augmented Generation system with ReAct (Reasoning+Acting) agent loop for intelligent question answering with multi-hop reasoning