Best AI tools for< Study >

StudyFetch is a revolutionary new platform that allows you to upload your course materials and create interactive study sets. You can study with an AI tutor, create flashcards, generate notes, take practice tests, and more. StudyFetch's AI, Spark.e, utilizes advanced machine learning algorithms to offer a tailored, interactive tutoring experience. Once you upload your study materials, Spark.e scans and indexes them, making the content searchable and accessible for real-time queries.

Study Plannr is an AI-powered application that generates personalized and smart study plans using ChatGPT. It optimizes revision by considering subjects, topics, and assessment dates. The tool is designed to help parents, educators, K12 students, and learners studying for certifications in creating customized study plans to improve learning efficiency and goal setting.

Studygenie is an AI-powered learning platform that helps students study for tests 10x faster. It uses AI to generate personalized quizzes, track retention, and provide insightful explanations. Studygenie is simple to use and trusted by students at top universities.

Studyable is an AI-powered platform designed to assist students with homework help and flashcards. The application leverages artificial intelligence technology to provide personalized learning experiences for users. With Studyable, students can access a wide range of study materials, practice questions, and interactive flashcards to enhance their understanding of various subjects. The platform aims to make studying more efficient and engaging by offering tailored recommendations and adaptive learning features. Studyable is a valuable tool for students seeking academic support and looking to improve their study habits.

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.

StudyCards App is an AI-powered flashcards maker that helps users memorize and study by swiping cards or listening to them on repeat. It features an embedded text-to-speech engine, allows creating custom decks with AI assistance, and supports multiple languages. The app is designed to enhance learning, improve vocabulary, and aid in various tasks like preparing for job interviews or learning new languages. It is accessible on mobile devices and smartwatches, offering convenience and accessibility for users with different learning needs.

StudyNinja is an AI-enhanced study buddy designed to revolutionize the academic journey of students. It offers a holistic productivity solution by blending smart task management, interactive study tools, and a unique AI Tutor. StudyNinja fosters active learning, efficient organization, and effective time management to enhance academic performance. The application provides features such as personalized study goals, assignment management, task management, study notes, and collaborative assignments. It is a cloud-based productivity software that works seamlessly on PC, tablet, or mobile devices, offering ultimate flexibility and hassle-free learning experience.

StudyPro is a premier online learning platform designed for students to enhance their academic performance. It offers a wide range of services, including grammar checking, paraphrasing, homework planning, and AI writing tools. StudyPro leverages advanced AI technologies to provide personalized learning experiences and support students in achieving their educational goals. The platform aims to simplify the learning process by offering innovative features and top-notch support to help students succeed in their academic journey.

StudyShift is a revolutionary collaborative productivity tool specifically designed for students. It is made to make students more efficient and productive. It works everywhere, whether on a PC, tablet, or mobile device. With StudyShift, students can set their study goals and track their progress efficiently. They can also manage their assignments, create documents, collaborate with others, and manage their tasks. StudyShift also includes an AI tutor that can answer questions on any subject. It is a revolutionary suite of productivity tools and apps for learners that works everywhere, whether on a PC, tablet, or mobile device.

StudyMap.ai is an AI-powered platform designed to help users learn anything efficiently. By leveraging artificial intelligence technology, StudyMap.ai offers personalized learning experiences tailored to individual needs. The platform enables users to study various subjects, acquire new skills, and enhance their knowledge through interactive and engaging content. With StudyMap.ai, users can access a wide range of educational resources, track their progress, and receive recommendations to optimize their learning journey.

StudyRaga is an AI-integrated productivity software designed to help students manage their academic responsibilities. It offers a centralized platform for managing tasks, schedules, and resources, enabling students to stay organized and focused. With features such as smart task management, progress tracking, group assignments, study notes, and interactive study tools, StudyRaga aims to enhance student productivity and collaboration.

StudyX is an all-in-one AI learning assistant that provides students with a variety of tools to help them learn more effectively. These tools include a chat-based AI assistant, homework help, research paper help, and writing assistance. StudyX is available as a web app, mobile app, and browser extension, making it easy to use anywhere you learn.

StudyWithGpt.com is a GPT-powered full-stack learning hub that provides personalized AI tutorials for various tech stacks including Java, PHP, Golang, Python, front-end, back-end, DevOps, and microservices. The AI Full-Stack Mentor offers tailored tutorials based on the user's learning objectives, breaking down knowledge points and providing 24/7 assistance. Users can ask questions, receive tutorial outlines, and get help with tough problems from the AI tutor.

Interview.study is an AI-powered interview preparation platform that helps candidates practice real interview questions asked by top companies. The platform provides users with instant feedback on their responses, helping them identify areas for improvement and develop stronger answers. Interview.study also offers a variety of features to help candidates prepare for their interviews, including a database of interview questions, a mock interview tool, and a resume builder.

Hebrew Bible Study is a website dedicated to providing resources for studying the Hebrew Bible. Users can access various features such as unlocking pro features, asking Rabbi Ari questions, and customizing their study plans. The website is designed to help users deepen their understanding of Judaism through the study of the Hebrew Bible. It is created by Cohen Apps and based in Jerusalem.

The US Citizenship Practice Exam is a website designed to help users study for the US naturalization test. The site provides a practice exam with 100 questions, graded by an AI created by OpenAI. Users need to answer 6 out of 10 questions correctly to pass the actual test, which is an oral test graded by a USCIS officer. The website is created by Evan Conrad and is open source on Github. Users can find the full list of questions and rules on the site.

Tomo Cafe is an RPG-ish AI companion application designed to boost productivity by providing users with accountable AI buddies for study, work, and more. Users can engage with unique virtual characters, set study targets, interact in 3D, and unlock character backstories to stay motivated and focused. The application offers a gamified experience with rewards, Pomodoro timer, and immersive storytelling to enhance the learning process.

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.

Course Hero is an online learning platform that provides students with access to a library of study materials, including textbooks, lecture notes, practice questions, and expert help. The platform uses AI to power its search engine and provide personalized recommendations to students. Course Hero also offers a subscription service that gives students access to additional features, such as the ability to download documents and get help from live tutors.

Quizgecko is an AI-powered platform that helps users create quizzes, flashcards, and assessments from existing content. It utilizes AI technology to generate questions and answers, offers spaced repetition for optimized learning, provides personalized feedback through an AI tutor, and allows users to study smarter with a mobile app. The platform is suitable for students, educators, and businesses looking to enhance learning and evaluation processes.

KanTV is an open-source project that focuses on studying and practicing state-of-the-art AI technology in real applications and scenarios, such as online TV playback, transcription, translation, and video/audio recording. It is derived from the original ijkplayer project and includes many enhancements and new features, including: * Watching online TV and local media using a customized FFmpeg 6.1. * Recording online TV to automatically generate videos. * Studying ASR (Automatic Speech Recognition) using whisper.cpp. * Studying LLM (Large Language Model) using llama.cpp. * Studying SD (Text to Image by Stable Diffusion) using stablediffusion.cpp. * Generating real-time English subtitles for English online TV using whisper.cpp. * Running/experiencing LLM on Xiaomi 14 using llama.cpp. * Setting up a customized playlist and using the software to watch the content for R&D activity. * Refactoring the UI to be closer to a real commercial Android application (currently only supports English). Some goals of this project are: * To provide a well-maintained "workbench" for ASR researchers interested in practicing state-of-the-art AI technology in real scenarios on mobile devices (currently focusing on Android). * To provide a well-maintained "workbench" for LLM researchers interested in practicing state-of-the-art AI technology in real scenarios on mobile devices (currently focusing on Android). * To create an Android "turn-key project" for AI experts/researchers (who may not be familiar with regular Android software development) to focus on device-side AI R&D activity, where part of the AI R&D activity (algorithm improvement, model training, model generation, algorithm validation, model validation, performance benchmark, etc.) can be done very easily using Android Studio IDE and a powerful Android phone.

AI Study Assistant is an app designed to enhance learning experience and boost academic performance. It serves as a personal tutor, lecture summarizer, writer, and question generator powered by Google PaLM 2. Features include interacting with an AI chatbot, summarizing lectures, generating essays, and creating practice questions. The app is built using 100% Kotlin, Jetpack Compose, Clean Architecture, and MVVM design pattern, with technologies like Ktor, Room DB, Hilt, and Kotlin coroutines. AI Study Assistant aims to provide comprehensive AI-powered assistance for students in various academic tasks.

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.

CAMEL is an open-source library designed for the study of autonomous and communicative agents. We believe that studying these agents on a large scale offers valuable insights into their behaviors, capabilities, and potential risks. To facilitate research in this field, we implement and support various types of agents, tasks, prompts, models, and simulated environments.

AI Hospital is a research repository focusing on the interactive evaluation and collaboration of Large Language Models (LLMs) as intern doctors for clinical diagnosis. The repository includes a simulation module tailored for various medical roles, introduces the Multi-View Medical Evaluation (MVME) Benchmark, provides dialog history documents of LLMs, replication instructions, performance evaluation, and guidance for creating intern doctor agents. The collaborative diagnosis with LLMs emphasizes dispute resolution. The study was authored by Zhihao Fan, Jialong Tang, Wei Chen, Siyuan Wang, Zhongyu Wei, Jun Xie, Fei Huang, and Jingren Zhou.

PINNACLE is a flexible geometric deep learning approach that trains on contextualized protein interaction networks to generate context-aware protein representations. It provides protein representations split across various cell-type contexts from different tissues and organs. The tool can be fine-tuned to study the genomic effects of drugs and nominate promising protein targets and cell-type contexts for further investigation. PINNACLE exemplifies the paradigm of incorporating context-specific effects for studying biological systems, especially the impact of disease and therapeutics.

This repository presents the findings of the paper "Compression Represents Intelligence Linearly". The study reveals a strong linear correlation between the intelligence of LLMs, as measured by benchmark scores, and their ability to compress external text corpora. Compression efficiency, derived from raw text corpora, serves as a reliable evaluation metric that is linearly associated with model capabilities. The repository includes the compression corpora used in the paper, code for computing compression efficiency, and data collection and processing pipelines.

AIT is a repository focused on Algorithmic Information Theory, specifically utilizing Binary Lambda Calculus. It provides resources and tools for studying and implementing algorithms based on information theory principles. The repository aims to explore the relationship between algorithms and information theory through the lens of Binary Lambda Calculus, offering insights into computational complexity and data compression techniques.

This is the official repository for the ACM CCS 2024 paper 'Do Anything Now': Characterizing and Evaluating In-The-Wild Jailbreak Prompts on Large Language Models. The project employs a new framework called JailbreakHub to conduct the first measurement study on jailbreak prompts in the wild, collecting 15,140 prompts from December 2022 to December 2023, including 1,405 jailbreak prompts. The dataset serves as the largest collection of in-the-wild jailbreak prompts. The repository contains examples of harmful language and is intended for research purposes only.

Vidur is a high-fidelity and extensible LLM inference simulator designed for capacity planning, deployment configuration optimization, testing new research ideas, and studying system performance of models under different workloads and configurations. It supports various models and devices, offers chrome trace exports, and can be set up using mamba, venv, or conda. Users can run the simulator with various parameters and monitor metrics using wandb. Contributions are welcome, subject to a Contributor License Agreement and adherence to the Microsoft Open Source Code of Conduct.

Awesome-Attention-Heads is a platform providing the latest research on Attention Heads, focusing on enhancing understanding of Transformer structure for model interpretability. It explores attention mechanisms for behavior, inference, and analysis, alongside feed-forward networks for knowledge storage. The repository aims to support researchers studying LLM interpretability and hallucination by offering cutting-edge information on Attention Head Mining.

PythonPark is a paradise for learning Python, providing babysitter-level tutorials on AI labs, treasure videos, data structures, study guides, machine learning practicals, deep learning practicals, Python basics, web scraping, big company interview experiences, programming life, and resource sharing. Original articles are published at least twice a week, with the latest articles being first released on WeChat and videos on Bilibili. Join the WeChat group for technical discussions or to provide feedback. Continuously improving and outputting content!

Autonomous agents are designed to achieve specific objectives through self-guided instructions. With the emergence and growth of large language models (LLMs), there is a growing trend in utilizing LLMs as fundamental controllers for these autonomous agents. This repository conducts a comprehensive survey study on the construction, application, and evaluation of LLM-based autonomous agents. It explores essential components of AI agents, application domains in natural sciences, social sciences, and engineering, and evaluation strategies. The survey aims to be a resource for researchers and practitioners in this rapidly evolving field.

ChatDev is a virtual software company powered by intelligent agents like CEO, CPO, CTO, programmer, reviewer, tester, and art designer. These agents collaborate to revolutionize the digital world through programming. The platform offers an easy-to-use, highly customizable, and extendable framework based on large language models, ideal for studying collective intelligence. ChatDev introduces innovative methods like Iterative Experience Refinement and Experiential Co-Learning to enhance software development efficiency. It supports features like incremental development, Docker integration, Git mode, and Human-Agent-Interaction mode. Users can customize ChatChain, Phase, and Role settings, and share their software creations easily. The project is open-source under the Apache 2.0 License and utilizes data licensed under CC BY-NC 4.0.

ShortcutsBench is a project focused on collecting and analyzing workflows created in the Shortcuts app, providing a dataset of shortcut metadata, source files, and API information. It aims to study the integration of large language models with Apple devices, particularly focusing on the role of shortcuts in enhancing user experience. The project offers insights for Shortcuts users, enthusiasts, and researchers to explore, customize workflows, and study automated workflows, low-code programming, and API-based agents.

AirGuard is an anti-tracking protection app designed to protect Android users from being tracked by AirTags and other Find My devices. The app periodically scans the surroundings for potential tracking devices and notifies the user if being followed. Users can play a sound on AirTags, view tracked locations, and participate in a research study on privacy protection. AirGuard does not monetize through ads or in-app purchases and ensures all tracking detection and notifications happen locally on the user's device.

A repository providing basic concepts, technical challenges, and resources on data engineering in Spanish. It is a curated list of free, Spanish-language materials found on the internet to facilitate the study of data engineering enthusiasts. The repository covers programming fundamentals, programming languages like Python, version control with Git, database fundamentals, SQL, design concepts, Big Data, analytics, cloud computing, data processing, and job search tips in the IT field.

AWS AI/ML Workshop & example collection in Korean. The example codes in this repository are divided into 4 categories: AI services, Applied AI, SageMaker, Integration, Generative AI, and AWS Neuron. Each directory has its own Readme file. This repository also provides useful information for self-studying SageMaker.

LLM.swift is a simple and readable library that allows you to interact with large language models locally with ease for macOS, iOS, watchOS, tvOS, and visionOS. It's a lightweight abstraction layer over `llama.cpp` package, so that it stays as performant as possible while is always up to date. Theoretically, any model that works on `llama.cpp` should work with this library as well. It's only a single file library, so you can copy, study and modify the code however you want.

The Second Brain AI Agent Project is a tool designed to empower personal knowledge management by automatically indexing markdown files and links, providing a smart search engine powered by OpenAI, integrating seamlessly with different note-taking methods, and enhancing productivity by accessing information efficiently. The system is built on LangChain framework and ChromaDB vector store, utilizing a pipeline to process markdown files and extract text and links for indexing. It employs a Retrieval-augmented generation (RAG) process to provide context for asking questions to the large language model. The tool is beneficial for professionals, students, researchers, and creatives looking to streamline workflows, improve study sessions, delve deep into research, and organize thoughts and ideas effortlessly.

Committed to guiding students through the thrilling and transformative journey of studying abroad

AI-powered test prep platform offering adaptive, interactive learning and progress tracking.

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Your tutor for Cisco CCNA certification, it will provides clear and concise exam topics explanations. Are looking for exam questions examples or exam prep? just ask :)

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A study assistant for Azure certification, explaining concepts and offering exam tips.

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Mechanical Engineering GPT to help study Mechanics & Dynamics topics

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I generate key points from transcripts and create quizzes for study.

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Summaries, analysis, and interactive chats with main characters for essay writing assistance and a deeper understanding of classic literature.

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Transform your spelling study sessions into interactive spelling bees! 🐝 Upload your word list and dive into a voice-activated quiz. Hear the word, spell it out, and get instant feedback before tackling the next challenge. Perfect your spelling skills one word at a time!

Expert guide for CISSP topics, with detailed explanations and real-world application.

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Assists students in animal science studies