Best AI tools for< Deliver Exams >

Assessment Systems is an online testing platform that provides cost-effective, AI-driven solutions to develop, deliver, and analyze high-stakes exams. With Assessment Systems, you can build and deliver smarter exams faster, thanks to modern psychometrics and AI like computerized adaptive testing, multistage testing, or automated item generation. You can also deliver exams flexibly: paper, online testing unproctored, online proctored, and test centers (yours or ours). Assessment Systems also offers item banking software to build better tests in less time, with collaborative item development brought to life with versioning, user roles, metadata, workflow management, multimedia, automated item generation, and much more.

Gradescope is an online assessment platform that helps educators deliver and grade assessments seamlessly. It supports various assignment types, including variable-length assignments, fixed-template assignments, paper-based assignments, and programming projects. Gradescope enables educators to provide detailed feedback, maintain consistency with flexible rubrics, and send grades to students with a click. It also offers valuable insights through per-question and per-rubric statistics, helping educators understand student performance and adjust their teaching strategies. Additionally, Gradescope incorporates AI-assisted grading features, such as answer grouping, to streamline the grading process.

Verificient Technologies Inc specializes in biometrics, computer vision, and machine learning to deliver world-class solutions in continuous identity verification and remote monitoring. Their flagship product, Proctortrack, is an identity verification and automated digital remote proctoring solution, helping Institutions of higher education ensure the integrity of their high-stakes online assessments.

College Tools is an AI-powered homework solver that provides instant, expert help to students. It can answer questions from any website, including those without specialized support, and is fully integrated with Learning Management Systems (LMS) such as McGraw Hill Connect, Blackboard, Canvas, Smartbook, Moodle, and many others. College Tools also offers advanced recognition features that allow users to capture and analyze graphs and image-based questions, and provides detailed step-by-step guidance for each question. The tool is designed to help students improve their understanding and academic results.

Almonds Ai is a powerful and scalable AI-driven platform that focuses on channel engagement for businesses. It offers solutions such as B2B loyalty programs, interactive product learning, and hybrid/virtual events to enhance partner engagement and drive revenue growth. With features like platform customization, dedicated customer support, data & AI engine, and global recognition, Almonds Ai aims to deliver measurable conversions and return on experience for its users. The platform caters to various industries including technology, retail, auto, and banking, helping businesses engage, educate, and reward their channel partners effectively.

Intercom is a customer engagement platform that helps businesses build better relationships with their customers through personalized messaging, automated support, and self-service help. Intercom's knowledge base software is a powerful tool that allows businesses to create and manage a comprehensive knowledge base that can help customers find answers to their questions quickly and easily. With Intercom's knowledge base software, businesses can reduce support volume, increase efficiency, and deliver personalized support at scale.

LambdaTest is a next-generation mobile apps and cross-browser testing cloud platform that offers a wide range of testing services. It allows users to perform manual live-interactive cross-browser testing, run Selenium, Cypress, Playwright scripts on cloud-based infrastructure, and execute AI-powered automation testing. The platform also provides accessibility testing, real devices cloud, visual regression cloud, and AI-powered test analytics. LambdaTest is trusted by over 2 million users globally and offers a unified digital experience testing cloud to accelerate go-to-market strategies.

Pinecone is a vector database designed to build knowledgeable AI applications. It offers a serverless platform with high capacity and low cost, enabling users to perform low-latency vector search for various AI tasks. Pinecone is easy to start and scale, allowing users to create an account, upload vector embeddings, and retrieve relevant data quickly. The platform combines vector search with metadata filters and keyword boosting for better application performance. Pinecone is secure, reliable, and cloud-native, making it suitable for powering mission-critical AI applications.

Eraser is an AI co-pilot for technical design that offers a reference library for creating diagrams and technical design documents. It allows users to create diagrams at the speed of thought, express data flow using diagram-as-code, collaborate on design docs, and create highly consumable visual documentation. Eraser ensures accurate and consistent designs, beautiful default creations, and a minimal tool design to maintain focus. It offers features like cloud architecture visualization, entity relationship modeling, flow charting, and sequence visualization. Eraser also provides version history, performance optimization, workflow integration, markdown formatting, export options, Github integration, and enterprise-grade security features.

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.

Lakera is the world's most advanced AI security platform that offers cutting-edge solutions to safeguard GenAI applications against various security threats. Lakera provides real-time security controls, stress-testing for AI systems, and protection against prompt attacks, data loss, and insecure content. The platform is powered by a proprietary AI threat database and aligns with global AI security frameworks to ensure top-notch security standards. Lakera is suitable for security teams, product teams, and LLM builders looking to secure their AI applications effectively and efficiently.

Serviceaide offers a complete product portfolio of software solutions. AI-powered solutions deliver unmatched service across IT, business departments, and customer support. Serviceaide focuses on helping customers drive various digital process transformations leveraging automation and AI.

SysAid is a Next-Gen ITSM Platform that offers a comprehensive IT service management solution with generative AI capabilities. It provides features such as AI chatbot integration, asset management, workflow automation, and performance insights. SysAid aims to streamline IT processes, empower agents with AI, and enhance end-user experience. The platform is designed to help organizations deliver exceptional service efficiently and scale seamlessly.

Glia is a digital customer service technology platform designed for financial services and beyond. It offers solutions to drive more sales online, increase customer loyalty, modernize support, and identify improvement areas through advanced benchmarks. With a focus on digital-centric and phone-centric customer support, Glia provides services such as video banking, personalized expert service, and AI management. The platform also emphasizes security, offering new apps, features, and ways to engage customers. Glia aims to revolutionize customer communication in industries like banking, credit unions, fintech, insurance, and lending.

Epicflow is an AI-based multi-project and resource management software designed to help organizations deliver more projects on time with available resources, increase profitability, and make informed project decisions using real-time data and predictive analytics. The software bridges demand and supply by matching talent based on competencies, experience, and availability. It offers features like AI assistant, What-If Analysis, Future Load Graph, Historical Load Graph, Task List, and Competence Management Pipeline. Epicflow is trusted by leading companies in various industries for high performance and flawless project delivery.

CX Genie is an AI-powered customer support platform that offers a comprehensive solution for businesses seeking to enhance their customer support operations. It leverages advanced AI technology to deliver smarter, faster, and more accurate customer support, including AI chatbots, help desk management, workflow automation, product data synchronization, and ticket management. With features like seamless integrations, customizable plans, and a user-friendly interface, CX Genie aims to provide outstanding customer support and drive business growth.

DQLabs is a modern data quality platform that leverages observability to deliver reliable and accurate data for better business outcomes. It combines the power of Data Quality and Data Observability to enable data producers, consumers, and leaders to achieve decentralized data ownership and turn data into action faster, easier, and more collaboratively. The platform offers features such as data observability, remediation-centric data relevance, decentralized data ownership, enhanced data collaboration, and AI/ML-enabled semantic data discovery.

Line 21 is an intelligent captioning solution that provides real-time remote captioning services in over a hundred languages. The platform offers a state-of-the-art caption delivery software that combines human expertise with AI services to create, enhance, translate, and deliver live captions to various viewer destinations. Line 21 supports accessible corporations, concerts, societies, and screenings by delivering fast and accurate captions through low-latency delivery methods. The platform also features an Ai Proofreader for real-time caption accuracy, caption encoding, fast caption delivery, and automatic translations in over 100 languages.

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.

Outreach is a sales execution platform that uses AI to help businesses increase sales productivity and revenue. It provides a complete platform that empowers the entire sales organization, from sellers to front-line managers, sales leadership, and ops, to create and close more pipeline. Outreach helps sales teams increase win rates by 26%.

AI-Powered Search provides code examples for the book 'AI-Powered Search' by Trey Grainger, Doug Turnbull, and Max Irwin. The book teaches modern machine learning techniques for building search engines that continuously learn from users and content to deliver more intelligent and domain-aware search experiences. It covers semantic search, retrieval augmented generation, question answering, summarization, fine-tuning transformer-based models, personalized search, machine-learned ranking, click models, and more. The code examples are in Python, leveraging PySpark for data processing and Apache Solr as the default search engine. The repository is open source under the Apache License, Version 2.0.

DashInfer is a C++ runtime tool designed to deliver production-level implementations highly optimized for various hardware architectures, including x86 and ARMv9. It supports Continuous Batching and NUMA-Aware capabilities for CPU, and can fully utilize modern server-grade CPUs to host large language models (LLMs) up to 14B in size. With lightweight architecture, high precision, support for mainstream open-source LLMs, post-training quantization, optimized computation kernels, NUMA-aware design, and multi-language API interfaces, DashInfer provides a versatile solution for efficient inference tasks. It supports x86 CPUs with AVX2 instruction set and ARMv9 CPUs with SVE instruction set, along with various data types like FP32, BF16, and InstantQuant. DashInfer also offers single-NUMA and multi-NUMA architectures for model inference, with detailed performance tests and inference accuracy evaluations available. The tool is supported on mainstream Linux server operating systems and provides documentation and examples for easy integration and usage.

LangTest is a comprehensive evaluation library for custom LLM and NLP models. It aims to deliver safe and effective language models by providing tools to test model quality, augment training data, and support popular NLP frameworks. LangTest comes with benchmark datasets to challenge and enhance language models, ensuring peak performance in various linguistic tasks. The tool offers more than 60 distinct types of tests with just one line of code, covering aspects like robustness, bias, representation, fairness, and accuracy. It supports testing LLMS for question answering, toxicity, clinical tests, legal support, factuality, sycophancy, and summarization.

Cube is a semantic layer for building data applications, helping data engineers and application developers access data from modern data stores, organize it into consistent definitions, and deliver it to every application. It works with SQL-enabled data sources, providing sub-second latency and high concurrency for API requests. Cube addresses SQL code organization, performance, and access control issues in data applications, enabling efficient data modeling, access control, and performance optimizations for various tools like embedded analytics, dashboarding, reporting, and data notebooks.

OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference. It provides a common API to deliver inference solutions on various platforms, including CPU, GPU, NPU, and heterogeneous devices. OpenVINO™ supports pre-trained models from Open Model Zoo and popular frameworks like TensorFlow, PyTorch, and ONNX. Key components of OpenVINO™ include the OpenVINO™ Runtime, plugins for different hardware devices, frontends for reading models from native framework formats, and the OpenVINO Model Converter (OVC) for adjusting models for optimal execution on target devices.

Pezzo is a fully cloud-native and open-source LLMOps platform that allows users to observe and monitor AI operations, troubleshoot issues, save costs and latency, collaborate, manage prompts, and deliver AI changes instantly. It supports various clients for prompt management, observability, and caching. Users can run the full Pezzo stack locally using Docker Compose, with prerequisites including Node.js 18+, Docker, and a GraphQL Language Feature Support VSCode Extension. Contributions are welcome, and the source code is available under the Apache 2.0 License.

MiniPerplx is a minimalistic AI-powered search engine designed to help users find information on the internet. It utilizes AI technologies from providers like OpenAI, Anthropic, and Tavily to deliver accurate and relevant search results. Users can deploy their own instance of MiniPerplx by obtaining API keys, setting up environment variables, and running the development server. The tool aims to streamline the process of information retrieval by leveraging advanced AI capabilities in a user-friendly interface.

Build fast and accurate GenAI applications with GraphRAG SDK, a specialized toolkit for building Graph Retrieval-Augmented Generation (GraphRAG) systems. It integrates knowledge graphs, ontology management, and state-of-the-art LLMs to deliver accurate, efficient, and customizable RAG workflows. The SDK simplifies the development process by automating ontology creation, knowledge graph agent creation, and query handling, enabling users to interact and query their knowledge graphs effectively. It supports multi-agent systems and orchestrates agents specialized in different domains. The SDK is optimized for FalkorDB, ensuring high performance and scalability for large-scale applications. By leveraging knowledge graphs, it enables semantic relationships and ontology-driven queries that go beyond standard vector similarity, enhancing retrieval-augmented generation capabilities.

AIDE is a machine learning code generation agent that can generate solutions for machine learning tasks from natural language descriptions. It has the following features: 1. **Instruct with Natural Language**: Describe your problem or additional requirements and expert insights, all in natural language. 2. **Deliver Solution in Source Code**: AIDE will generate Python scripts for the **tested** machine learning pipeline. Enjoy full transparency, reproducibility, and the freedom to further improve the source code! 3. **Iterative Optimization**: AIDE iteratively runs, debugs, evaluates, and improves the ML code, all by itself. 4. **Visualization**: We also provide tools to visualize the solution tree produced by AIDE for a better understanding of its experimentation process. This gives you insights not only about what works but also what doesn't. AIDE has been benchmarked on over 60 Kaggle data science competitions and has demonstrated impressive performance, surpassing 50% of Kaggle participants on average. It is particularly well-suited for tasks that require complex data preprocessing, feature engineering, and model selection.

VulcanSQL is an Analytical Data API Framework for AI agents and data apps. It aims to help data professionals deliver RESTful APIs from databases, data warehouses or data lakes much easier and secure. It turns your SQL into APIs in no time!

Embark on an exciting adventure with Loyal Elephie, your faithful AI sidekick! This project combines the power of a neat Next.js web UI and a mighty Python backend, leveraging the latest advancements in Large Language Models (LLMs) and Retrieval Augmented Generation (RAG) to deliver a seamless and meaningful chatting experience. Features include controllable memory, hybrid search, secure web access, streamlined LLM agent, and optional Markdown editor integration. Loyal Elephie supports both open and proprietary LLMs and embeddings serving as OpenAI compatible APIs.

Ant Design X is a tool for crafting AI-driven interfaces effortlessly. It is built on the best practices of enterprise-level AI products, offering flexible and diverse atomic components for various AI dialogue scenarios. The tool provides out-of-the-box model integration with inference services compatible with OpenAI standards. It also enables efficient management of conversation data flows, supports rich template options, complete TypeScript support, and advanced theme customization. Ant Design X is designed to enhance development efficiency and deliver exceptional AI interaction experiences.

Kheish is an open-source, multi-role agent designed for complex tasks that require structured, step-by-step collaboration with Large Language Models (LLMs). It acts as an intelligent agent that can request modules on demand, integrate user feedback, switch between specialized roles, and deliver refined results. By harnessing multiple 'sub-agents' within one framework, Kheish tackles tasks like security audits, file searches, RAG-based exploration, and more.

The Neo4j GraphRAG package for Python is an official repository that provides features for creating and managing vector indexes in Neo4j databases. It aims to offer developers a reliable package with long-term commitment, maintenance, and fast feature updates. The package supports various Python versions and includes functionalities for creating vector indexes, populating them, and performing similarity searches. It also provides guidelines for installation, examples, and development processes such as installing dependencies, making changes, and running tests.

GenAIComps is an initiative aimed at building enterprise-grade Generative AI applications using a microservice architecture. It simplifies the scaling and deployment process for production, abstracting away infrastructure complexities. GenAIComps provides a suite of containerized microservices that can be assembled into a mega-service tailored for real-world Enterprise AI applications. The modular approach of microservices allows for independent development, deployment, and scaling of individual components, promoting modularity, flexibility, and scalability. The mega-service orchestrates multiple microservices to deliver comprehensive solutions, encapsulating complex business logic and workflow orchestration. The gateway serves as the interface for users to access the mega-service, providing customized access based on user requirements.

Hercules is the world’s first open-source testing agent designed to handle the toughest testing tasks for modern web applications. It turns simple Gherkin steps into fully automated end-to-end tests, making testing simple, reliable, and efficient. Hercules adapts to various platforms like Salesforce and is suitable for CI/CD pipelines. It aims to democratize and disrupt test automation, making top-tier testing accessible to everyone. The tool is transparent, reliable, and community-driven, empowering teams to deliver better software. Hercules offers multiple ways to get started, including using PyPI package, Docker, or building and running from source code. It supports various AI models, provides detailed installation and usage instructions, and integrates with Nuclei for security testing and WCAG for accessibility testing. The tool is production-ready, open core, and open source, with plans for enhanced LLM support, advanced tooling, improved DOM distillation, community contributions, extensive documentation, and a bounty program.

Bodo is a high-performance Python compute engine designed for large-scale data processing and AI workloads. It utilizes an auto-parallelizing just-in-time compiler to optimize Python programs, making them 20x to 240x faster compared to alternatives. Bodo seamlessly integrates with native Python APIs like Pandas and NumPy, eliminates runtime overheads using MPI for distributed execution, and provides exceptional performance and scalability for data workloads. It is easy to use, interoperable with the Python ecosystem, and integrates with modern data platforms like Apache Iceberg and Snowflake. Bodo focuses on data-intensive and computationally heavy workloads in data engineering, data science, and AI/ML, offering automatic optimization and parallelization, linear scalability, advanced I/O support, and a high-performance SQL engine.

XLang™ is a cutting-edge language designed for AI and IoT applications, offering exceptional dynamic and high-performance capabilities. It excels in distributed computing and seamless integration with popular languages like C++, Python, and JavaScript. Notably efficient, running 3 to 5 times faster than Python in AI and deep learning contexts. Features optimized tensor computing architecture for constructing neural networks through tensor expressions. Automates tensor data flow graph generation and compilation for specific targets, enhancing GPU performance by 6 to 10 times in CUDA environments.

AWQ (Activation-aware Weight Quantization) is a tool designed for efficient and accurate low-bit weight quantization (INT3/4) for Large Language Models (LLMs). It supports instruction-tuned models and multi-modal LMs, providing features such as AWQ search for accurate quantization, pre-computed AWQ model zoo for various LLMs, memory-efficient 4-bit linear in PyTorch, and efficient CUDA kernel implementation for fast inference. The tool enables users to run large models on resource-constrained edge platforms, delivering more efficient responses with LLM/VLM chatbots through 4-bit inference.

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I'm here to help you deliver the best possible lessons while spending less time on admin tasks and lesson planning.

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Intellectual.AI slices through the complexities of information to deliver sharp, comprehensive insights with a laser focus on logic, structure, and cross-domain analysis

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Enhances customer satisfaction through strategic brand management.

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