Best AI tools for< Assess Comprehension >

DUNNO is an AI-powered quiz platform that uses GPT-based models to generate quizzes and intellectual games. With DUNNO, you can quickly create your own quizzes based on any text, topic, or personal notes. After creating a quiz, you can either play alone or invite friends. DUNNO is suitable for various scenarios, including learning, work, and entertainment. It offers features such as quiz creation, quiz results tracking, and multiple game modes to make learning more engaging and interactive.

Quizbot is an AI tool designed to automatically create quizzes in Google Forms based on any given text, such as websites or ebooks. It offers various types of questions like comprehension, vocabulary, cloze, and maze, and automatically scores them with one click. Quizbot also helps in managing Google Forms on Google Drive, making it a convenient tool for educators and organizations to create and assess quizzes efficiently.

Breakout Learning is an AI-powered educational platform that transforms traditional case studies into engaging, multifaceted experiences. It empowers professors with AI insights into small-group discussions, enabling them to customize lectures and foster deeper student comprehension. Students benefit from rich content, peer-led discussions, and AI assessment that provides personalized feedback and tracks their progress.

StrataReports is an AI-driven tool that specializes in transforming lengthy condo documents into comprehensive insights for real estate professionals, insurance brokers, and property buyers and sellers. By leveraging cutting-edge AI technology, the platform reads, analyzes, and summarizes complex documents to provide rapid yet in-depth understanding of building positives and drawbacks. With customizable reporting options and an interactive chatbot, StrataReports empowers users to make informed decisions with confidence in the Canadian real estate market.

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.

Flagright is an AI-native AML compliance and risk management solution designed for EU and UK fintech startups. It offers a comprehensive platform for screening, monitoring, and investigating AML compliance and fraud cases using AI technology. The platform provides real-time transaction monitoring, automated case management, AI forensics for screening, customer risk assessment, and sanctions screening. Flagright also offers integrations, notifications, bad actor database, CRM, KYB & ID verification, and professional services for tailored AML program design and support. Trusted by financial institutions across 6 continents, Flagright is a modern standard for financial crime compliance.

Modulos is a Responsible AI Platform that integrates risk management, data science, legal compliance, and governance principles to ensure responsible innovation and adherence to industry standards. It offers a comprehensive solution for organizations to effectively manage AI risks and regulations, streamline AI governance, and achieve relevant certifications faster. With a focus on compliance by design, Modulos helps organizations implement robust AI governance frameworks, execute real use cases, and integrate essential governance and compliance checks throughout the AI life cycle.

Legaliser is an AI legal assistant that revolutionizes contract management by providing comprehensive AI analysis, intuitive drafting tools, and a diverse range of customizable templates. It quickly summarizes contracts, evaluates clauses for compliance, and offers targeted suggestions to enhance contract clarity and compliance. Legaliser streamlines document management with AI-driven summaries, clause ratings, and smart organization, making it an indispensable tool for legal professionals across diverse industries.

Legaliser is an AI-powered contract management tool that offers comprehensive contract analysis, intuitive drafting tools, and customizable legal templates. It leverages advanced AI technology and legal expertise to streamline legal workflows, enhance compliance, and revolutionize how businesses handle legal documents.

Horizon3.ai Solutions offers the NodeZero™ Platform, an AI-powered autonomous penetration testing tool designed to enhance cybersecurity measures. The platform combines expert human analysis by Offensive Security Certified Professionals with automated testing capabilities to streamline compliance processes and proactively identify vulnerabilities. NodeZero empowers organizations to continuously assess their security posture, prioritize fixes, and verify the effectiveness of remediation efforts. With features like internal and external pentesting, rapid response capabilities, AD password audits, phishing impact testing, and attack research, NodeZero is a comprehensive solution for large organizations, ITOps, SecOps, security teams, pentesters, and MSSPs. The platform provides real-time reporting, integrates with existing security tools, reduces operational costs, and helps organizations make data-driven security decisions.

Lumenova AI is an AI platform that focuses on making AI ethical, transparent, and compliant. It provides solutions for AI governance, assessment, risk management, and compliance. The platform offers comprehensive evaluation and assessment of AI models, proactive risk management solutions, and simplified compliance management. Lumenova AI aims to help enterprises navigate the future confidently by ensuring responsible AI practices and compliance with regulations.

Lex Machina is a Legal Analytics platform that provides comprehensive insights into litigation track records of parties across the United States. It offers accurate and transparent analytic data, exclusive outcome analytics, and valuable insights to help law firms and companies craft successful strategies, assess cases, and set litigation strategies. The platform uses a unique combination of machine learning and in-house legal experts to compile, clean, and enhance data, providing unmatched insights on courts, judges, lawyers, law firms, and parties.

Sleep Care Pro is a comprehensive online platform that serves as a trusted guide for achieving healthier sleep. The website offers science-backed insights, practical advice, and a range of AI tools to help users improve their sleep quality. From sleep hygiene tips to personalized sleep audio tracks and expert sleep coach assistance, Sleep Care Pro aims to enhance overall well-being through better sleep practices.

Hiree365 is a comprehensive campus recruitment platform that connects universities, students, employers, and governments to improve graduate employability. It offers a range of features to help universities manage campus recruitments, employers attract better candidates, and students find jobs related to their university courses. Hiree365 also provides AI-powered job screening and matching technology to help employers find the perfect match for any job posting.

MASCAA is a comprehensive human confidence analysis platform that focuses on evaluating the confidence of users through video and audio during various tasks. It integrates advanced facial expression and voice analysis technologies to provide valuable feedback for students, instructors, individuals, businesses, and teams. MASCAA offers quick and easy test creation, evaluation, and confidence assessment for educational settings, personal use, startups, small organizations, universities, and large organizations. The platform aims to unlock long-term value and enhance customer experience by helping users assess and improve their confidence levels.

This AI-driven solution revolutionizes course development by streamlining and enhancing the entire process. It provides a comprehensive suite of tools that empower educators to create engaging and effective learning experiences with greater efficiency and ease. By leveraging the power of AI, this solution automates repetitive tasks, provides personalized recommendations, and offers real-time insights, enabling educators to focus on what matters most: delivering exceptional learning outcomes.

Supply Chain Intelligence is an AI application that offers a comprehensive suite of tools for supply chain management. It provides advanced demand forecasting capabilities, digitization guidance, AI forecast model creation, forecasting segmentation, and assessment of demand forecasting process maturity. The application aims to streamline supply chain operations, enhance decision-making, and optimize planning processes through the use of artificial intelligence technologies.

Global Plastic Watch (GPW) is a digital platform that maps the world's plastic pollution in near real-time using a unique combination of satellite imagery and artificial intelligence. It provides a comprehensive view of the global plastic waste crisis, including the location and size of plastic waste sites, the types of plastic waste, and the impact of plastic pollution on the environment and human health.

LawBotica is an AI-powered platform that revolutionizes legal work by automating deposition summaries, crafting case timelines, offering comprehensive due diligence, document review, interactive chats, and collaborative workspaces. It transforms legal practice, turning months of work into minutes of efficiency. LawBotica empowers legal teams with AI-powered modules for document review, summarization, chat, repository management, and case assessment. It provides personalized solutions for legal practices, versatile deployment options, and a flexible API for custom integration.

Intervidy is an AI-powered video interviewing platform that helps businesses hire better, faster, and more efficiently. With Intervidy, businesses can create and send video interviews to candidates, track their progress, and make hiring decisions based on data and insights. Intervidy's AI technology analyzes candidate responses to identify key skills and personality traits, providing businesses with a more comprehensive view of each candidate.

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.

TrustLLM is a comprehensive study of trustworthiness in LLMs, including principles for different dimensions of trustworthiness, established benchmark, evaluation, and analysis of trustworthiness for mainstream LLMs, and discussion of open challenges and future directions. Specifically, we first propose a set of principles for trustworthy LLMs that span eight different dimensions. Based on these principles, we further establish a benchmark across six dimensions including truthfulness, safety, fairness, robustness, privacy, and machine ethics. We then present a study evaluating 16 mainstream LLMs in TrustLLM, consisting of over 30 datasets. The document explains how to use the trustllm python package to help you assess the performance of your LLM in trustworthiness more quickly. For more details about TrustLLM, please refer to project website.

The LLMEvaluation repository is a comprehensive compendium of evaluation methods for Large Language Models (LLMs) and LLM-based systems. It aims to assist academics and industry professionals in creating effective evaluation suites tailored to their specific needs by reviewing industry practices for assessing LLMs and their applications. The repository covers a wide range of evaluation techniques, benchmarks, and studies related to LLMs, including areas such as embeddings, question answering, multi-turn dialogues, reasoning, multi-lingual tasks, ethical AI, biases, safe AI, code generation, summarization, software performance, agent LLM architectures, long text generation, graph understanding, and various unclassified tasks. It also includes evaluations for LLM systems in conversational systems, copilots, search and recommendation engines, task utility, and verticals like healthcare, law, science, financial, and others. The repository provides a wealth of resources for evaluating and understanding the capabilities of LLMs in different domains.

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.

OpenCompass is a one-stop platform for large model evaluation, aiming to provide a fair, open, and reproducible benchmark for large model evaluation. Its main features include: * Comprehensive support for models and datasets: Pre-support for 20+ HuggingFace and API models, a model evaluation scheme of 70+ datasets with about 400,000 questions, comprehensively evaluating the capabilities of the models in five dimensions. * Efficient distributed evaluation: One line command to implement task division and distributed evaluation, completing the full evaluation of billion-scale models in just a few hours. * Diversified evaluation paradigms: Support for zero-shot, few-shot, and chain-of-thought evaluations, combined with standard or dialogue-type prompt templates, to easily stimulate the maximum performance of various models. * Modular design with high extensibility: Want to add new models or datasets, customize an advanced task division strategy, or even support a new cluster management system? Everything about OpenCompass can be easily expanded! * Experiment management and reporting mechanism: Use config files to fully record each experiment, and support real-time reporting of results.

This repository contains a collection of papers and resources related to Large Language Models (LLMs), including their applications in various domains such as text generation, translation, question answering, and dialogue systems. The repository also includes discussions on the ethical and societal implications of LLMs. **Description** This repository is a collection of papers and resources related to Large Language Models (LLMs). LLMs are a type of artificial intelligence (AI) that can understand and generate human-like text. They have a wide range of applications, including text generation, translation, question answering, and dialogue systems. **For Jobs** - **Content Writer** - **Copywriter** - **Editor** - **Journalist** - **Marketer** **AI Keywords** - **Large Language Models** - **Natural Language Processing** - **Machine Learning** - **Artificial Intelligence** - **Deep Learning** **For Tasks** - **Generate text** - **Translate text** - **Answer questions** - **Engage in dialogue** - **Summarize text**

This repository provides a curated list of papers, datasets, and resources related to the detection and mitigation of hallucinations in large language models (LLMs). Hallucinations refer to the generation of factually incorrect or nonsensical text by LLMs, which can be a significant challenge for their use in real-world applications. The resources in this repository aim to help researchers and practitioners better understand and address this issue.

Prometheus-Eval is a repository dedicated to evaluating large language models (LLMs) in generation tasks. It provides state-of-the-art language models like Prometheus 2 (7B & 8x7B) for assessing in pairwise ranking formats and achieving high correlation scores with benchmarks. The repository includes tools for training, evaluating, and using these models, along with scripts for fine-tuning on custom datasets. Prometheus aims to address issues like fairness, controllability, and affordability in evaluations by simulating human judgments and proprietary LM-based assessments.

Academic_LLM_Sec_Papers is a curated collection of academic papers related to LLM Security Application. The repository includes papers sorted by conference name and published year, covering topics such as large language models for blockchain security, software engineering, machine learning, and more. Developers and researchers are welcome to contribute additional published papers to the list. The repository also provides information on listed conferences and journals related to security, networking, software engineering, and cryptography. The papers cover a wide range of topics including privacy risks, ethical concerns, vulnerabilities, threat modeling, code analysis, fuzzing, and more.

This repository contains a comprehensive collection of 63 must-know Large Language Models (LLMs) interview questions. It covers topics such as the architecture of LLMs, transformer models, attention mechanisms, training processes, encoder-decoder frameworks, differences between LLMs and traditional statistical language models, handling context and long-term dependencies, transformers for parallelization, applications of LLMs, sentiment analysis, language translation, conversation AI, chatbots, and more. The readme provides detailed explanations, code examples, and insights into utilizing LLMs for various tasks.

SuperKnowa is a fast framework to build Enterprise RAG (Retriever Augmented Generation) Pipelines at Scale, powered by watsonx. It accelerates Enterprise Generative AI applications to get prod-ready solutions quickly on private data. The framework provides pluggable components for tackling various Generative AI use cases using Large Language Models (LLMs), allowing users to assemble building blocks to address challenges in AI-driven text generation. SuperKnowa is battle-tested from 1M to 200M private knowledge base & scaled to billions of retriever tokens.

Create comprehension questions based on a shared text. These questions will be designed to assess understanding at different levels of Bloom's taxonomy, from basic recall to more complex analytical and evaluative thinking skills.

Comprehensive threat modeling

Ensures IT systems integrity through comprehensive auditing.

Provides comprehensive guidance on educational standards and assessments.

Comprehensive analysis of cash flow statements, covering a wide array of financial metrics.

Comprehensive GA curriculum guide for all grades & subjects.

Comprehensive Software Skill Assessment Expert

Ensures software security through comprehensive testing techniques.

Informative guide on asbestos hazards and removal

Assess a potential home's quality using your own photos and property inspection reports

Assess your company's real appetite for new technologies or new ways of working methods

Assess the TRL of your projects, get ideas for specific TRLs, learn how to advance from one TRL to the next

Empowers leaders to gauge and enhance company culture. Use advanced analytics to assess, report, and develop a thriving workplace culture. 🚀💼📊

Upload a site photo to assess the potential hazard and seek advises from experience AI Safety Officer

Assess the level of English

I critically assess business ideas with witty feedback.

Analyzes financial data to assess creditworthiness, aiding in lending decisions and solutions.

Starts with a quiz to assess your personality across 10 dating-related areas, crafts a custom development road-map, and coaches you towards finding a fulfilling relationship.

I analyze WhatsApp/Telegram and email conversations to assess the tone of their emotions and read between the lines. Upload your screenshot and I'll tell you what they are really saying! 😀

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.