Best AI tools for< Prepare Exams >

OpExams is an AI-powered platform designed to assist educators in creating, administering, grading, and analyzing exams. It offers features such as online exams, quizzes, paper exams, code assignments, interactive lessons, AI questions generator, and AI quiz generator. OpExams aims to streamline the exam preparation process for teachers by providing tools from the future, making it effortless to manage various types of assessments. With a global community of educators using OpExams, the platform is revolutionizing the traditional exam procedures and enhancing the teaching and learning experience worldwide.

Studyquick is an AI-powered tool designed for students to streamline their learning process. By uploading university scripts, lectures, videos, and audio recordings, users can benefit from AI-generated study notes, practice exams, podcasts, and a virtual AI tutor. Studyquick aims to revolutionize the way students prepare for exams by providing personalized and efficient study materials tailored to individual needs. With features like KI-generated study notes, personalized study assistance, and quick access to study materials, Studyquick offers a comprehensive solution for students looking to enhance their learning experience.

Axon is an AI-powered study and test prep platform designed specifically for the USMLE exam. It offers a comprehensive and personalized approach to help students study smarter, not harder. With a focus on efficiency and effectiveness, Axon aims to enhance the learning experience for medical students preparing for their exams. The platform provides a range of study resources, practice questions, and personalized study plans to optimize exam preparation and boost performance.

Sara is an AI-powered platform that serves as a virtual tutor and exam planner. It leverages artificial intelligence to provide personalized learning experiences and help students prepare for exams efficiently. With Sara, users can access study materials, receive customized study plans, track their progress, and get feedback on their performance. The platform aims to enhance learning outcomes by offering adaptive learning solutions tailored to individual needs.

ViddyAI is an AI-powered learning platform designed to enhance academic success. By leveraging artificial intelligence technology, ViddyAI offers a range of tools and resources to support students in their learning journey. From personalized study plans to interactive quizzes, ViddyAI aims to provide a tailored and effective learning experience for users of all levels. With a focus on adaptive learning and data-driven insights, ViddyAI empowers students to achieve their academic goals with confidence.

PrepSup is an AI-powered platform that offers a combination of powerful flashcards, AI tutoring, and PDF analysis tools. It provides a comprehensive solution for students and professionals to enhance their learning experience, improve retention, and analyze PDF documents efficiently. With PrepSup, users can create interactive flashcards, receive personalized tutoring based on AI algorithms, and analyze PDF files for key information. The platform aims to streamline the learning process and make studying more effective and engaging.

PrepSup is a powerful AI-powered learning platform that provides students with personalized study materials, an AI tutor, and a PDF analyzer to help them excel in their studies. With PrepSup, students can create and share flashcards, access a vast library of pre-made flashcards, and get instant feedback on their progress. The AI tutor provides personalized recommendations and guidance, helping students identify areas for improvement and develop effective study strategies. The PDF analyzer extracts key concepts and insights from PDFs, making it easier for students to understand and retain information. Whether you're preparing for a test, writing a paper, or simply trying to learn a new subject, PrepSup is the perfect tool to help you succeed.

Eklavvya.AI is an AI-powered platform offering practice tests, practice interviews, and exam question papers with answers. It provides a comprehensive solution for exam preparation by leveraging cutting-edge technology to personalize education and revolutionize the studying process. The platform offers a wide range of practice exams, school exams, and CET exams for various subjects and courses. Additionally, it features multilingual tests, detailed performance analytics, and walkthroughs for better learning outcomes.

KardsAI is an AI-powered flashcard maker mobile app designed to help users study smarter and more efficiently. It allows users to transform any PDF, text, note, or prompt into flashcards in a snap. With advanced AI features and a mobile-first approach, KardsAI offers exceptional quality and unique features for personalized learning experiences. The app saves valuable time by automating flashcard creation and incorporates a spaced repetition algorithm to help users remember information longer. KardsAI is suitable for students, language learners, knowledge seekers, and trivia enthusiasts, offering a wide range of functionalities to enhance learning and memory retention.

Skillflow is an AI platform built for learning. Unlike ChatGPT, Skillflow only requires a single prompt to start exploring a topic. Additionally, Skillflow is structured like a video game to make the whole process a lot more fun! Skillflow uses the most advanced models to generate course content, games, lesson personalization and more. Read the content and pass the tests to continue into the next module.

EduHunt is an AI-powered search engine that helps users find quality educational content on YouTube. It allows users to search for specific topics and filters the results to show only the most relevant and high-quality videos. EduHunt also offers a variety of features to help users customize their search results, such as the ability to filter by language, duration, and difficulty level.

Flash Notes is a highly personalized and efficient learning experience tailored to advanced learners. It offers AI-powered flashcards, tailored learning algorithms, seamless multi-device synchronization, and a privacy-centric design. With Flash Notes, you can convert your notes into dynamic flashcards, get compelling prompts generated by ChatGPT, and learn at your own pace based on the spaced repetition method. Your notes are securely stored in iCloud and synced across all your devices using CRDT technology.

Socratic is an AI-powered learning tool that provides students with personalized support in various subjects, including Science, Math, Literature, and Social Studies. It utilizes text and speech recognition to surface relevant learning resources and offers visual explanations of important concepts. Socratic is highly regarded by both teachers and students for its ability to clarify complex topics and supplement classroom learning.

O'Reilly Media is an AI-powered platform offering technology and business training for individuals, businesses, government, and higher education institutions. With over 5,000 companies relying on their digital courses, O'Reilly provides resources to upskill teams in tools and technologies driving business outcomes. The platform features courses, certifications, interactive learning, live events, and insights reporting. O'Reilly leverages generative AI tools and large language models to help employees stay ahead in their tech careers. The platform also offers diversity scholarships and awards to promote inclusivity and recognize excellence in technical learning. With a history of over 40 years, O'Reilly has been sharing knowledge through books, tech conferences, and online learning content.

Caktus AI is an AI assistant designed to help students with their studies. It can answer questions, provide explanations, and generate content. Caktus AI is powered by a large language model, which allows it to understand and respond to complex questions in a natural way. Caktus AI is still under development, but it has already shown great promise as a tool for helping students learn.

KardsAI is an AI-powered flashcard maker application that aims to make learning easier and more efficient. It allows users to transform any PDF, text, note, or prompt into flashcards in a snap. With features like converting PDFs to flashcards, generating flashcards from prompts, and cross-platform access, KardsAI caters to students, language learners, knowledge seekers, and trivia enthusiasts. The application saves valuable time through AI-powered flashcard creation and helps users remember information longer with a spaced repetition algorithm. KardsAI offers a freemium model, allowing users to use the app for free or upgrade for additional features at an affordable price.

Digicrusader is the world's leading AI marketplace and digital marketing coach offering a range of AI tools and resources to help businesses boost innovation, revenue, and competitiveness in a data-driven world. Founded by Anurag Jain, a renowned business coach and AI expert, Digicrusader provides expert insights, strategies, and practical AI solutions to empower entrepreneurs and professionals in leveraging AI for business growth and success.

CogniCircuit AI is an AI-powered TOEFL preparation application designed to help students improve their English skills and achieve high scores in the TOEFL exam. The app offers comprehensive practice tests, personalized feedback, and realistic exam simulations to enhance students' reading, speaking, writing, and listening abilities. With over 90,000 students on the platform and a success rate of 98%, CogniCircuit AI is a trusted tool for TOEFL test preparation.

Wordjotter is an AI-powered Anki flashcards application that utilizes artificial intelligence to enhance the learning experience. It helps users create and study flashcards efficiently by leveraging AI algorithms to optimize content and improve retention. With Wordjotter, users can easily create personalized flashcards, receive intelligent recommendations, track their progress, and collaborate with others in a seamless manner. The application aims to revolutionize the traditional flashcard learning method by incorporating AI technology to make learning more effective and engaging.

Theodore AI is an AI-powered tool that helps users understand complex topics quickly and easily. With just three clicks, users can get a clear and concise explanation of any topic, making it perfect for students, researchers, and anyone who wants to learn something new.

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.

Algolisted is a pioneering platform dedicated to algorithmic problem-solving, offering a centralized hub for a diverse array of algorithmic challenges. It provides an immersive online environment for programmers to enhance their skills through Data Structures and Algorithms (DSA) sheets, academic progress tracking, resume refinement with OpenAI integration, adaptive testing, and job opportunity listings. The project is built on the MERN stack, Flask, Beautiful Soup, and Selenium,GEN AI, and deployed on Firebase. Algolisted aims to be a reliable companion in the pursuit of coding knowledge and proficiency.

This repository contains code for building cooperative embodied agents modularly with large language models. The agents are trained to perform tasks in two different environments: ThreeDWorld Multi-Agent Transport (TDW-MAT) and Communicative Watch-And-Help (C-WAH). TDW-MAT is a multi-agent environment where agents must transport objects to a goal position using containers. C-WAH is an extension of the Watch-And-Help challenge, which enables agents to send messages to each other. The code in this repository can be used to train agents to perform tasks in both of these environments.

Recommenders is a project under the Linux Foundation of AI and Data that assists researchers, developers, and enthusiasts in prototyping, experimenting with, and bringing to production a range of classic and state-of-the-art recommendation systems. The repository contains examples and best practices for building recommendation systems, provided as Jupyter notebooks. It covers tasks such as preparing data, building models using various recommendation algorithms, evaluating algorithms, tuning hyperparameters, and operationalizing models in a production environment on Azure. The project provides utilities to support common tasks like loading datasets, evaluating model outputs, and splitting training/test data. It includes implementations of state-of-the-art algorithms for self-study and customization in applications.

SenseVoice is a speech foundation model focusing on high-accuracy multilingual speech recognition, speech emotion recognition, and audio event detection. Trained with over 400,000 hours of data, it supports more than 50 languages and excels in emotion recognition and sound event detection. The model offers efficient inference with low latency and convenient finetuning scripts. It can be deployed for service with support for multiple client-side languages. SenseVoice-Small model is open-sourced and provides capabilities for Mandarin, Cantonese, English, Japanese, and Korean. The tool also includes features for natural speech generation and fundamental speech recognition tasks.

Baal is an active learning library that supports both industrial applications and research use cases. It provides a framework for Bayesian active learning methods such as Monte-Carlo Dropout, MCDropConnect, Deep ensembles, and Semi-supervised learning. Baal helps in labeling the most uncertain items in the dataset pool to improve model performance and reduce annotation effort. The library is actively maintained by a dedicated team and has been used in various research papers for production and experimentation.

SimpleAICV_pytorch_training_examples is a repository that provides simple training and testing examples for various computer vision tasks such as image classification, object detection, semantic segmentation, instance segmentation, knowledge distillation, contrastive learning, masked image modeling, OCR text detection, OCR text recognition, human matting, salient object detection, interactive segmentation, image inpainting, and diffusion model tasks. The repository includes support for multiple datasets and networks, along with instructions on how to prepare datasets, train and test models, and use gradio demos. It also offers pretrained models and experiment records for download from huggingface or Baidu-Netdisk. The repository requires specific environments and package installations to run effectively.

xFasterTransformer is an optimized solution for Large Language Models (LLMs) on the X86 platform, providing high performance and scalability for inference on mainstream LLM models. It offers C++ and Python APIs for easy integration, along with example codes and benchmark scripts. Users can prepare models in a different format, convert them, and use the APIs for tasks like encoding input prompts, generating token ids, and serving inference requests. The tool supports various data types and models, and can run in single or multi-rank modes using MPI. A web demo based on Gradio is available for popular LLM models like ChatGLM and Llama2. Benchmark scripts help evaluate model inference performance quickly, and MLServer enables serving with REST and gRPC interfaces.

TempCompass is a benchmark designed to evaluate the temporal perception ability of Video LLMs. It encompasses a diverse set of temporal aspects and task formats to comprehensively assess the capability of Video LLMs in understanding videos. The benchmark includes conflicting videos to prevent models from relying on single-frame bias and language priors. Users can clone the repository, install required packages, prepare data, run inference using examples like Video-LLaVA and Gemini, and evaluate the performance of their models across different tasks such as Multi-Choice QA, Yes/No QA, Caption Matching, and Caption Generation.

The Lakera PINT Benchmark provides a neutral evaluation method for prompt injection detection systems, offering a dataset of English inputs with prompt injections, jailbreaks, benign inputs, user-agent chats, and public document excerpts. The dataset is designed to be challenging and representative, with plans for future enhancements. The benchmark aims to be unbiased and accurate, welcoming contributions to improve prompt injection detection. Users can evaluate prompt injection detection systems using the provided Jupyter Notebook. The dataset structure is specified in YAML format, allowing users to prepare their datasets for benchmarking. Evaluation examples and resources are provided to assist users in evaluating prompt injection detection models and tools.

This repository contains the code to prepare the data for the Amber 7B language model. The final training data comes from three sources: RedPajama V1, RefinedWeb, and StarCoderData. The data preparation involves downloading untokenized data, tokenizing the data using the Huggingface tokenizer, concatenating tokens into 2048 token sequences, merging datasets, and splitting the merged dataset into 360 chunks. Each tokenized data chunk is a jsonl file containing samples with 2049 tokens. The repository provides scripts for downloading datasets, tokenizing and concatenating sequences, validating data, and merging subsets into chunks.

MaskLLM is a learnable pruning method that establishes Semi-structured Sparsity in Large Language Models (LLMs) to reduce computational overhead during inference. It is scalable and benefits from larger training datasets. The tool provides examples for running MaskLLM with Megatron-LM, preparing LLaMA checkpoints, pre-tokenizing C4 data for Megatron, generating prior masks, training MaskLLM, and evaluating the model. It also includes instructions for exporting sparse models to Huggingface.

SuperPrompt is an open-source project designed to help users understand AI agents. The project includes a prompt with theoretical, mathematical, and binary instructions for users to follow. It aims to serve as a universal catalyst for infinite conceptual evolution, focusing on metamorphic abstract reasoning and self-transcending objectives. The prompt encourages users to explore fundamental truths, create order from cognitive chaos, and prepare for paradigm shifts in understanding. It provides guidelines for analyzing multidimensional states, synthesizing emergent patterns, and integrating new paradigms.

Sycamore is a conversational search and analytics platform for complex unstructured data, such as documents, presentations, transcripts, embedded tables, and internal knowledge repositories. It retrieves and synthesizes high-quality answers through bringing AI to data preparation, indexing, and retrieval. Sycamore makes it easy to prepare unstructured data for search and analytics, providing a toolkit for data cleaning, information extraction, enrichment, summarization, and generation of vector embeddings that encapsulate the semantics of data. Sycamore uses your choice of generative AI models to make these operations simple and effective, and it enables quick experimentation and iteration. Additionally, Sycamore uses OpenSearch for indexing, enabling hybrid (vector + keyword) search, retrieval-augmented generation (RAG) pipelining, filtering, analytical functions, conversational memory, and other features to improve information retrieval.

CodeGPT is a CLI tool written in Go that helps you write git commit messages or do a code review brief using ChatGPT AI (gpt-3.5-turbo, gpt-4 model) and automatically installs a git prepare-commit-msg hook. It supports Azure OpenAI Service or OpenAI API, conventional commits specification, Git prepare-commit-msg Hook, customizing the number of lines of context in diffs, excluding files from the git diff command, translating commit messages into different languages, using socks or custom network HTTP proxies, specifying model lists, and doing brief code reviews.

This repository provides a deployment guide for utilizing Google Cloud's Generative AI tools in marketing scenarios. It includes step-by-step instructions, examples of crafting marketing materials, and supplementary Jupyter notebooks. The demos cover marketing insights, audience analysis, trendspotting, content search, content generation, and workspace integration. Users can access and visualize marketing data, analyze trends, improve search experience, and generate compelling content. The repository structure includes backend APIs, frontend code, sample notebooks, templates, and installation scripts.

Humanoid-Gym is a reinforcement learning framework designed for training locomotion skills for humanoid robots, focusing on zero-shot transfer from simulation to real-world environments. It integrates a sim-to-sim framework from Isaac Gym to Mujoco for verifying trained policies in different physical simulations. The codebase is verified with RobotEra's XBot-S and XBot-L humanoid robots. It offers comprehensive training guidelines, step-by-step configuration instructions, and execution scripts for easy deployment. The sim2sim support allows transferring trained policies to accurate simulated environments. The upcoming features include Denoising World Model Learning and Dexterous Hand Manipulation. Installation and usage guides are provided along with examples for training PPO policies and sim-to-sim transformations. The code structure includes environment and configuration files, with instructions on adding new environments. Troubleshooting tips are provided for common issues, along with a citation and acknowledgment section.

DeepSeek Free API is a high-speed streaming output tool that supports multi-turn conversations and zero-configuration deployment. It is compatible with the ChatGPT interface and offers multiple token support. The tool provides eight free APIs for various AI interfaces. Users can access the tool online, prepare for integration, deploy using Docker, Docker-compose, Render, Vercel, or native deployment methods. It also offers client recommendations for faster integration and supports dialogue completion and userToken live checks. The tool comes with important considerations for Nginx reverse proxy optimization and token statistics.

FarmVibes.AI is a repository focused on developing multi-modal geospatial machine learning models for agriculture and sustainability. It enables users to fuse various geospatial and spatiotemporal datasets, such as satellite imagery, drone imagery, and weather data, to generate robust insights for agriculture-related problems. The repository provides fusion workflows, data preparation tools, model training notebooks, and an inference engine to facilitate the creation of geospatial models tailored for agriculture and farming. Users can interact with the tools via a local cluster, REST API, or a Python client, and the repository includes documentation and notebook examples to guide users in utilizing FarmVibes.AI for tasks like harvest date detection, climate impact estimation, micro climate prediction, and crop identification.

AgentScope is a multi-agent platform designed to empower developers to build multi-agent applications with large-scale models. It features three high-level capabilities: Easy-to-Use, High Robustness, and Actor-Based Distribution. AgentScope provides a list of `ModelWrapper` to support both local model services and third-party model APIs, including OpenAI API, DashScope API, Gemini API, and ollama. It also enables developers to rapidly deploy local model services using libraries such as ollama (CPU inference), Flask + Transformers, Flask + ModelScope, FastChat, and vllm. AgentScope supports various services, including Web Search, Data Query, Retrieval, Code Execution, File Operation, and Text Processing. Example applications include Conversation, Game, and Distribution. AgentScope is released under Apache License 2.0 and welcomes contributions.

Generates multiple choice tests from theory files

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Ce GPT a pour objectif de me préparer aux partiels de mastère professionnel "Manager du développement commercial". Il me permettra notamment de réviser l'ensemble des cours reçus lors de cette année.

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Quick quiz Q's with hints for engineers trying not to forget.

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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。

Comprehensive guide to the Psychology textbook.

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Your SKLSUPPLYAI companion for everything to do with International Baccalaureate (IB) Psychology (Please specify whether you are studying at HL or SL)

A Learning Assistant guiding through effective learning strategies.

Talk to an expert on The Scarlet Letter by Nathaniel Hawthorne

If you crave a systematic approach to learning, I'm your Knowledge Architect. I'll navigate you through comprehensive knowledge hierarchies, step by step, in any subject you choose. Share this systematic learning method with your friends to elevate their learning experiences.

A course advisor for Berkeley Computer Science students and anyone who wants to learn CS at Berkeley!

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