Best AI tools for< Knowledge Assessment >

Testportal is an online assessment platform that allows users to create their own tests, quizzes, and exams. It is used by businesses and educational institutions to assess the skills and knowledge of their employees and students. Testportal offers a variety of features, including AI-powered question generation, automatic grading, and comprehensive insights and analytics. It also integrates with Microsoft Teams and provides enterprise-grade security and data protection.

Play2Learn is an AI-powered learning platform that revolutionizes training and lifelong learning through gamification. It offers a suite of tailored games that foster skill development, virtual empowerment, and real-time insights. The platform leverages AI tools for seamless customization, creating immersive scenarios that test player knowledge through relatable analogies. With its intuitive dashboard, Play2Learn provides detailed metrics to identify knowledge gaps and make informed decisions. The platform's gamified approach engages players with levels, scores, and badges, encouraging active participation and knowledge retention.

Qwizzard is an AI question generator tool that helps users create questions automatically. By enabling JavaScript, users can generate a variety of questions for quizzes, exams, or assessments. The tool simplifies the process of question creation by leveraging AI technology to provide a quick and efficient solution. With Qwizzard, users can save time and effort in developing question sets for educational purposes or knowledge assessments.

Soffos is an innovative platform that offers a personalized learning experience through AI technology. Users can access a wide range of educational content and tools to enhance their knowledge and skills. The platform is designed to provide a seamless and interactive learning environment for individuals and organizations alike.

Neota is a no-code development platform that empowers individuals to build bespoke solutions without writing a single line of code. It offers a wide range of capabilities and features to streamline processes, automate documents, and accelerate time-to-market. Neota integrates seamlessly with existing tools, provides visually stunning user experiences, and ensures security with international certifications. The platform harnesses AI for practical business automation solutions and caters to various roles like Legal Operations, Insurance, and Human Resources. Neota is trusted globally and has a decade of experience in supporting teams to accomplish more with less.

Knostic AI is an AI application that focuses on Copilot Readiness for Enterprise AI Security. It helps organizations locate and remediate data leaks from AI searches, ensuring data security and compliance. Knostic offers solutions to prevent data leakage, map knowledge boundaries, recommend permission adjustments, and provide independent verification of security posture readiness for AI adoption.

Solidroad is an AI-first training and feedback platform that turns company knowledge-base into immersive training programs. It offers personalized coaching, realistic simulations, and real-time feedback to improve team performance. The platform aims to make training programs easier to manage and more engaging for employees.

The Responsible AI Institute is a global non-profit organization dedicated to equipping organizations and AI professionals with tools and knowledge to create, procure, and deploy AI systems that are safe and trustworthy. They offer independent assessments, conformity assessments, and certification programs to ensure that AI systems align with internal policies, regulations, laws, and best practices for responsible technology use. The institute also provides resources, news, and a community platform for members to collaborate and stay informed about responsible AI practices and regulations.

MachineHack is an AI platform that empowers AI developers by providing resources and knowledge for real-world ML projects through hackathons, community learning, and assessments. It hosts AI hackathons, offers practice opportunities, and features AI courses, blogs, and tools. The platform encourages innovation and skill development in the AI field.

Wonda is an AI-powered platform that enables users to create immersive learning experiences and simulations. It offers a range of features such as AI companions, quiz and assessments, virtual tours, role-playing games, and virtual workshops. Users can easily build interactive learning journeys without the need for coding. Wonda aims to enhance engagement and collaboration in training and onboarding processes, making learning experiences unforgettable and impactful. The platform supports integration with various learning management systems and provides advanced role management options for secure sharing. With Wonda, users can unleash their creativity and build virtual exhibits to showcase their ideas and projects in a fun and engaging way.

Workhub.ai is a website that offers a platform for conducting robot challenge screen tests. Users can assess the security of their site connection through this tool. The site prompts users to enable cookies in their browser settings to access the page.

ScamAlert is an AI-powered application designed to help users avert scams in a smarter way. By adopting the power of AI and building smart systems, ScamAlert protects users from being scammed by analyzing risks, conducting manual reviews, providing timely alerts, and fostering a social community to prevent similar scams. The application enhances the online experience by taking care of risky aspects while empowering users to make well-informed decisions.

SWMS AI is an AI-powered safety risk assessment tool that helps businesses streamline compliance and improve safety. It leverages a vast knowledge base of occupational safety resources, codes of practice, risk assessments, and safety documents to generate risk assessments tailored specifically to a project, trade, and industry. SWMS AI can be customized to a company's policies to align its AI's document generation capabilities with proprietary safety standards and requirements.

Cognii is an AI-based educational technology provider that offers solutions for K-12, higher education, and corporate training markets. Their award-winning EdTech product enables personalized learning, intelligent tutoring, open response assessments, and rich analytics. Cognii's Virtual Learning Assistant engages students in chatbot-style conversations, providing instant feedback, personalized hints, and guiding towards mastery. The platform aims to deliver 21st-century online education with superior learning outcomes and cost efficiency.

Sturdy is an AI application designed for B2B businesses to drive insights and actions that improve business performance and revenue retention. It provides product insights, sentiment trends, account-based summaries, and custom signals. Sturdy offers automations, AI readiness assessment, and turnkey deployment for customer intelligence. The application ensures privacy, security, and compliance-first mindset in data integration and collection. Sturdy converts unstructured customer interactions into actionable data for decision-making and forecasting.

SC Training, formerly known as EdApp, is a mobile learning management system that offers a wide range of features to enhance the training experience for both administrators and learners. The platform provides tools for creating, managing, and tracking training courses, with a strong focus on microlearning and gamification. SC Training aims to deliver bite-sized, engaging content that can be accessed anytime, anywhere, on any device. The application also incorporates AI technology to streamline course creation and improve the learning experience. With a diverse course library, practical assessments, and group training capabilities, SC Training is designed to help organizations deliver effective and efficient training programs.

SC Training, formerly known as EdApp, is a mobile learning management system that offers a comprehensive platform for creating, delivering, and tracking training courses. The application provides features such as admin control, content creation tools, analytics tracking, AI course generation, microlearning courses, gamification elements, and support for various industries. SC Training aims to deliver efficient and engaging training experiences to users, with a focus on bite-sized learning and accessibility across devices. The platform also offers course libraries, practical assessments, rapid course refresh, and group training options. Users can customize courses, integrate with existing tools, and access a range of resources through the help center and blog.

Studious Score AI is an AI-powered platform that offers knowledge and skill evaluation services supported by reputable individuals and organizations. The platform aims to revolutionize credentialing by providing a new approach. Studious Score AI is on a mission to establish itself as the global benchmark for assessing skills and knowledge in various aspects of life. Users can explore different categories and unlock their potential through the platform's innovative evaluation methods.

Talynce is an AI-powered technical interview platform that revolutionizes the recruitment process by automating candidate screening through live coding interviews and technical Q&A sessions. It helps companies assess coding skills and theoretical knowledge efficiently, empowering them to identify top technical talent faster.

OpenBreeze.ai is an AI-powered platform that revolutionizes coding education. Users can type any idea, build it, and master skills on the fly. The platform offers a new era of coding education by providing personalized learning experiences and real-world building opportunities. OpenBreeze.ai aims to help users go from zero to coder, shape the future of coding education, and tap into the booming coding education market with its fresh and scalable approach.

Knowledge Conflicts for LLMs: A Survey is a repository containing a survey paper that investigates three types of knowledge conflicts: context-memory conflict, inter-context conflict, and intra-memory conflict within Large Language Models (LLMs). The survey reviews the causes, behaviors, and possible solutions to these conflicts, providing a comprehensive analysis of the literature in this area. The repository includes detailed information on the types of conflicts, their causes, behavior analysis, and mitigating solutions, offering insights into how conflicting knowledge affects LLMs and how to address these conflicts.

llm_benchmarks is a collection of benchmarks and datasets for evaluating Large Language Models (LLMs). It includes various tasks and datasets to assess LLMs' knowledge, reasoning, language understanding, and conversational abilities. The repository aims to provide comprehensive evaluation resources for LLMs across different domains and applications, such as education, healthcare, content moderation, coding, and conversational AI. Researchers and developers can leverage these benchmarks to test and improve the performance of LLMs in various real-world scenarios.

The 'awesome-mobile-robotics' repository is a curated list of important content related to Mobile Robotics and AI. It includes resources such as courses, books, datasets, software and libraries, podcasts, conferences, journals, companies and jobs, laboratories and research groups, and miscellaneous resources. The repository covers a wide range of topics in the field of Mobile Robotics and AI, providing valuable information for enthusiasts, researchers, and professionals in the domain.

Awesome-LLM-Eval: a curated list of tools, benchmarks, demos, papers for Large Language Models (like ChatGPT, LLaMA, GLM, Baichuan, etc) Evaluation on Language capabilities, Knowledge, Reasoning, Fairness and Safety.

A collection of papers related to knowledge distillation of large language models (LLMs). The repository focuses on techniques to transfer advanced capabilities from proprietary LLMs to smaller models, compress open-source LLMs, and refine their performance. It covers various aspects of knowledge distillation, including algorithms, skill distillation, verticalization distillation in fields like law, medical & healthcare, finance, science, and miscellaneous domains. The repository provides a comprehensive overview of the research in the area of knowledge distillation of LLMs.

CodeAsk is a code analysis tool designed to tackle complex issues such as code that seems to self-replicate, cryptic comments left by predecessors, messy and unclear code, and long-lasting temporary solutions. It offers intelligent code organization and analysis, security vulnerability detection, code quality assessment, and other interesting prompts to help users understand and work with legacy code more efficiently. The tool aims to translate 'legacy code mountains' into understandable language, creating an illusion of comprehension and facilitating knowledge transfer to new team members.

This repository contains materials for the Microsoft Learn AI Fundamentals module. It covers the basics of artificial intelligence, machine learning, and data science. The content includes hands-on labs, interactive learning modules, and assessments to help learners understand key concepts and techniques in AI. Whether you are new to AI or looking to expand your knowledge, this module provides a comprehensive introduction to the fundamentals of AI.

KG-LLM-Papers is a repository that collects papers integrating knowledge graphs (KGs) and large language models (LLMs). It serves as a comprehensive resource for research on the role of KGs in the era of LLMs, covering surveys, methods, and resources related to this integration.

Examor is a website application that allows you to take exams based on your knowledge notes. It helps you to remember what you have learned and written. The application generates a set of questions from the documents you upload, and you can answer them to test your knowledge. Examor also uses GPT to score and validate your answers, and provides you with feedback. The application is still in its early stages of development, but it has the potential to be a valuable tool for learners.

MMMU is a benchmark designed to evaluate multimodal models on college-level subject knowledge tasks, covering 30 subjects and 183 subfields with 11.5K questions. It focuses on advanced perception and reasoning with domain-specific knowledge, challenging models to perform tasks akin to those faced by experts. The evaluation of various models highlights substantial challenges, with room for improvement to stimulate the community towards expert artificial general intelligence (AGI).

HuatuoGPT2 is an innovative domain-adapted medical large language model that excels in medical knowledge and dialogue proficiency. It showcases state-of-the-art performance in various medical benchmarks, surpassing GPT-4 in expert evaluations and fresh medical licensing exams. The open-source release includes HuatuoGPT2 models in 7B, 13B, and 34B versions, training code for one-stage adaptation, partial pre-training and fine-tuning instructions, and evaluation methods for medical response capabilities and professional pharmacist exams. The tool aims to enhance LLM capabilities in the Chinese medical field through open-source principles.

ERAG is an advanced system that combines lexical, semantic, text, and knowledge graph searches with conversation context to provide accurate and contextually relevant responses. This tool processes various document types, creates embeddings, builds knowledge graphs, and uses this information to answer user queries intelligently. It includes modules for interacting with web content, GitHub repositories, and performing exploratory data analysis using various language models.

The UltraRAG framework is a researcher and developer-friendly RAG system solution that simplifies the process from data construction to model fine-tuning in domain adaptation. It introduces an automated knowledge adaptation technology system, supporting no-code programming, one-click synthesis and fine-tuning, multidimensional evaluation, and research-friendly exploration work integration. The architecture consists of Frontend, Service, and Backend components, offering flexibility in customization and optimization. Performance evaluation in the legal field shows improved results compared to VanillaRAG, with specific metrics provided. The repository is licensed under Apache-2.0 and encourages citation for support.

Nebula is an advanced, AI-powered penetration testing tool designed for cybersecurity professionals, ethical hackers, and developers. It integrates state-of-the-art AI models into the command-line interface, automating vulnerability assessments and enhancing security workflows with real-time insights and automated note-taking. Nebula revolutionizes penetration testing by providing AI-driven insights, enhanced tool integration, AI-assisted note-taking, and manual note-taking features. It also supports any tool that can be invoked from the CLI, making it a versatile and powerful tool for cybersecurity tasks.

The 'awesome-ai-llm4education' repository is a curated list of papers related to artificial intelligence (AI) and large language models (LLM) for education. It collects papers from top conferences, journals, and specialized domain-specific conferences, categorizing them based on specific tasks for better organization. The repository covers a wide range of topics including tutoring, personalized learning, assessment, material preparation, specific scenarios like computer science, language, math, and medicine, aided teaching, as well as datasets and benchmarks for educational research.

Well-Architected Infrastructure as Code (IaC) Analyzer is a project demonstrating how generative AI can evaluate infrastructure code for alignment with best practices. It features a modern web application allowing users to upload IaC documents, complete IaC projects, or architecture diagrams for assessment. The tool provides insights into infrastructure code alignment with AWS best practices, offers suggestions for improving cloud architecture designs, and can generate IaC templates from architecture diagrams. Users can analyze CloudFormation, Terraform, or AWS CDK templates, architecture diagrams in PNG or JPEG format, and complete IaC projects with supporting documents. Real-time analysis against Well-Architected best practices, integration with AWS Well-Architected Tool, and export of analysis results and recommendations are included.

Speechless.AI is committed to integrating the superior language processing and deep reasoning capabilities of large language models into practical business applications. By enhancing the model's language understanding, knowledge accumulation, and text creation abilities, and introducing long-term memory, external tool integration, and local deployment, our aim is to establish an intelligent collaborative partner that can independently interact, continuously evolve, and closely align with various business scenarios.

Nejumi Leaderboard 3 is a comprehensive evaluation platform for large language models, assessing general language capabilities and alignment aspects. The evaluation framework includes metrics for language processing, translation, summarization, information extraction, reasoning, mathematical reasoning, entity extraction, knowledge/question answering, English, semantic analysis, syntactic analysis, alignment, ethics/moral, toxicity, bias, truthfulness, and robustness. The repository provides an implementation guide for environment setup, dataset preparation, configuration, model configurations, and chat template creation. Users can run evaluation processes using specified configuration files and log results to the Weights & Biases project.

这个工具可以帮你从浅入深的掌握一个深奥的知识领域的内容，他可以循序渐进的设计由浅到深的问题让你来回答，等你回答了之后，我可以判断你的知识层次到什么程度，然后再给你提出对应的解释一个详细理论的方案。

Develops meal plans, nutritional assessments and food science knowledge for dietitians and nutritionists.

For "Generative AI Test". Examiner in Generative AI, posing questions and providing feedback.

Web Vulnerability Academy (WVA) is an interactive tutor designed to introduce users to web vulnerabilities while also providing them with opportunities to assess and enhance their knowledge through testing.

I generate pop quizzes based on your topics and preferences.

Generates multiple choice tests from theory files

Give you quiz assistant for diverse academic subjects and levels.

Fun and factual multiple choice quiz creator. Providing multiple choice answers.

問題集からバックエンドの技術質問（57+問）をランダムで出題します。回答に対して点数、評価ポイント、改善点を出し、最終的に面接に合格したかどうかを判断します。こちらはサンプルバージョンです。掲載問題数は減らしています。

A kid-friendly guide for fun, safe learning.

Expert in data-to-file conversion for GPT Training - Knowledge Nexus now specializes in converting data to the most suitable file format for GPT Knowledge files

For strategic knowledge distillation, upload the document you need to analyze and use !start. ENSURE the uploaded file shows DOCUMENT and NOT PDF. This workflow requires leveraging RAG to operate. Only a small amount of PDFs are supported, convert to txt or doc. For timeout, refresh & !continue

Quick facts and illustrations of animals, insects and plants.

I refine complex knowledge into granular, integrated solutions.

Assists with structuring knowledge files for GPTs

A brutally honest, multilingual guide for factual responses

Documentation for Knowledge Base

Extracts and structures web content in formal, technical language.

Expert in esoteric knowledge, encouraging exploration and understanding.

In-depth FFmpeg expert with web browsing and DALL-E capabilities.