Best AI tools for< Study Performance >

Assistena is an AI study companion designed to optimize study performance, save time, and enhance grades. It offers features such as AI-generated flashcards and summaries, a streamlined platform for organizing study material, note-taking platform, AI word definitions, and AI paragraph explanations. The tool is free for students and aims to revolutionize the way students work and organize their study material.

Zoc is an AI-powered note-taking application designed for students and educators to enhance learning experiences. It offers features such as flawless class note-taking, organizing key topics, translation into multiple languages, and creating quizzes. Zoc aims to increase attention in the classroom, study effectiveness, and student achievement by combining state-of-the-art technology with educational frameworks. The application has received recognition for its responsible AI innovation and commitment to leveling the educational playing field for all students.

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.

Opal is an AI-powered study tool designed to supercharge studying for students. It offers features such as AI-powered notes, flashcards, quizzes, and advanced performance tracking. Opal allows users to upload various document types, provides multilingual support, and ensures bank-level security for stored documents. The tool is built to help students summarize, review, and learn efficiently with the assistance of AI technology.

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.

The website is currently displaying a '403 Forbidden' error, which means that access to the requested resource is denied. This error is typically caused by insufficient permissions or server misconfiguration. The 'openresty' message indicates that the server is using the OpenResty web platform. OpenResty is a web platform based on NGINX and LuaJIT, often used for building dynamic web applications. It provides a powerful and flexible environment for web development.

Gizmo is an AI-powered learning application designed to make studying easy and enjoyable for students of all levels. It offers A.I. quizzes that help users learn and retain information effectively. The app is created by Cambridge alumni and has gained popularity among students for its innovative approach to learning. With features like spaced repetition, active recall, and the ability to turn study materials into flashcards, Gizmo aims to enhance the learning experience and improve academic performance.

Learning Copilot is an AI-powered platform designed to assist users in enhancing their learning experience. It leverages artificial intelligence to provide personalized recommendations, interactive study materials, and real-time feedback to help users improve their knowledge retention and academic performance. With a user-friendly interface and advanced algorithms, Learning Copilot aims to revolutionize the way people learn by making education more engaging, efficient, and effective.

Open Tutor App is an AI-powered Homework Helper designed to assist students in solving homework questions efficiently. The app allows users to take a photo of their homework, which is then analyzed by AI to provide step-by-step solutions and explanations. With features like scanning and solving homework questions, Open Tutor App aims to enhance learning experiences and boost academic performance. The application is available for download on Google Play, App Store, and Web platforms.

Akadimia Ai is an AI-powered platform designed to provide users with a range of educational resources and tools. The platform leverages artificial intelligence to offer personalized learning experiences, interactive tutorials, and assessments. Users can access a variety of courses, quizzes, and study materials tailored to their individual needs and learning preferences. Akadimia Ai aims to enhance the learning process by offering adaptive content recommendations and progress tracking features. Whether you are a student looking to improve your academic performance or a professional seeking to acquire new skills, Akadimia Ai offers a comprehensive learning solution to help you achieve your goals.

Learnrithm is an AI-powered learning platform designed to make learning easier and more accessible. It offers personalized learning paths, interactive quizzes, certification upon course completion, 24/7 accessibility, diverse learning resources, and expert instructors. With features like AI Quiz Generator, Ai Teacher, and Chat With PDF, Learnrithm aims to provide a comprehensive solution for students and teachers to enhance their learning experience. Trusted by students from over 1000 universities worldwide, Learnrithm has proven to be a valuable tool in improving academic performance and understanding of study materials.

BugFree.ai is an AI-powered platform designed to help users practice system design and behavior interviews, similar to Leetcode. The platform offers a range of features to assist users in preparing for technical interviews, including mock interviews, real-time feedback, and personalized study plans. With BugFree.ai, users can improve their problem-solving skills and gain confidence in tackling complex interview questions.

ExamSamur.ai is an AI-powered platform designed to help students prepare for exams efficiently. It offers a wide range of study materials, practice tests, and personalized study plans to enhance learning outcomes. The platform utilizes advanced algorithms to analyze students' performance and provide targeted feedback for improvement. With a user-friendly interface and interactive features, ExamSamur.ai aims to make exam preparation engaging and effective for students of all levels.

APEUni is an AI-powered platform designed to help users practice for the Pearson Test of English (PTE) exam. It offers various AI scoring features for different sections of the PTE exam, such as Speaking, Writing, Reading, and Listening. Users can access practice materials, study guides, and receive detailed score reports to improve their performance. APEUni aims to provide a comprehensive and efficient way for PTE test takers to prepare for the exam.

AI Does Your Homework is an innovative AI tool designed to assist students with their homework assignments. The tool utilizes advanced artificial intelligence algorithms to provide accurate solutions to a wide range of academic questions and problems. Students can simply input their questions into the tool, and it will generate step-by-step solutions, explanations, and answers in real-time. AI Does Your Homework aims to streamline the learning process, enhance understanding of complex topics, and improve academic performance.

Question AI is a free AI homework helper designed to assist students with their homework assignments. The tool utilizes artificial intelligence to provide accurate and reliable answers to a wide range of academic questions. Students can simply input their homework questions into the tool, and it will generate step-by-step solutions to help them understand the concepts better. With Question AI, students can improve their learning outcomes and enhance their academic performance.

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

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.

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.

Marlin is a highly optimized FP16xINT4 matmul kernel designed for large language model (LLM) inference, offering close to ideal speedups up to batchsizes of 16-32 tokens. It is suitable for larger-scale serving, speculative decoding, and advanced multi-inference schemes like CoT-Majority. Marlin achieves optimal performance by utilizing various techniques and optimizations to fully leverage GPU resources, ensuring efficient computation and memory management.

Analyze the following text from a github repository (name and readme text at end) . Then, generate a JSON object with the following keys and provide the corresponding information for each key, in lowercase letters: 'description' (detailed description of the repo, must be less than 400 words，Ensure that no line breaks and quotation marks.),'for_jobs' (List 5 jobs suitable for this tool,in lowercase letters), 'ai_keywords' (keywords of the tool,user may use those keyword to find the tool,in lowercase letters), 'for_tasks' (list of 5 specific tasks user can use this tool to do,in lowercase letters), 'answer' (in english languages)

Awesome-LLM-Inference: A curated list of 📙Awesome LLM Inference Papers with Codes, check 📖Contents for more details. This repo is still updated frequently ~ 👨‍💻‍ Welcome to star ⭐️ or submit a PR to this repo!

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.

This repository is dedicated to the pruning of large language models (LLMs). It aims to serve as a comprehensive resource for researchers and practitioners interested in the efficient reduction of model size while maintaining or enhancing performance. The repository contains various papers, summaries, and links related to different pruning approaches for LLMs, along with author information and publication details. It covers a wide range of topics such as structured pruning, unstructured pruning, semi-structured pruning, and benchmarking methods. Researchers and practitioners can explore different pruning techniques, understand their implications, and access relevant resources for further study and implementation.

ReproModel is an open-source toolbox designed to boost AI research efficiency by enabling researchers to reproduce, compare, train, and test AI models faster. It provides standardized models, dataloaders, and processing procedures, allowing researchers to focus on new datasets and model development. With a no-code solution, users can access benchmark and SOTA models and datasets, utilize training visualizations, extract code for publication, and leverage an LLM-powered automated methodology description writer. The toolbox helps researchers modularize development, compare pipeline performance reproducibly, and reduce time for model development, computation, and writing. Future versions aim to facilitate building upon state-of-the-art research by loading previously published study IDs with verified code, experiments, and results stored in the system.

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.

Official PyTorch implementation of Wanda (Pruning by Weights and Activations), a simple and effective pruning approach for large language models. The pruning approach removes weights on a per-output basis, by the product of weight magnitudes and input activation norms. The repository provides support for various features such as LLaMA-2, ablation study on OBS weight update, zero-shot evaluation, and speedup evaluation. Users can replicate main results from the paper using provided bash commands. The tool aims to enhance the efficiency and performance of language models through structured and unstructured sparsity techniques.

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.

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.

Cherry Data Selection project introduces a self-guided methodology for LLMs to autonomously discern and select cherry samples from open-source datasets, minimizing manual curation and cost for instruction tuning. The project focuses on selecting impactful training samples ('cherry data') to enhance LLM instruction tuning by estimating instruction-following difficulty. The method involves phases like 'Learning from Brief Experience', 'Evaluating Based on Experience', and 'Retraining from Self-Guided Experience' to improve LLM performance.

MMOS (Mix of Minimal Optimal Sets) is a dataset designed for math reasoning tasks, offering higher performance and lower construction costs. It includes various models and data subsets for tasks like arithmetic reasoning and math word problem solving. The dataset is used to identify minimal optimal sets through reasoning paths and statistical analysis, with a focus on QA-pairs generated from open-source datasets. MMOS also provides an auto problem generator for testing model robustness and scripts for training and inference.

Cambrian-1 is a fully open project focused on exploring multimodal Large Language Models (LLMs) with a vision-centric approach. It offers competitive performance across various benchmarks with models at different parameter levels. The project includes training configurations, model weights, instruction tuning data, and evaluation details. Users can interact with Cambrian-1 through a Gradio web interface for inference. The project is inspired by LLaVA and incorporates contributions from Vicuna, LLaMA, and Yi. Cambrian-1 is licensed under Apache 2.0 and utilizes datasets and checkpoints subject to their respective original licenses.

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.

LLM-Tuning is a collection of tools and resources for fine-tuning large language models (LLMs). It includes a library of pre-trained LoRA models, a set of tutorials and examples, and a community forum for discussion and support. LLM-Tuning makes it easy to fine-tune LLMs for a variety of tasks, including text classification, question answering, and dialogue generation. With LLM-Tuning, you can quickly and easily improve the performance of your LLMs on downstream tasks.

AI Assists in learning and troubleshooting Ladybug Tools.

Provides IELTS speaking and writing feedback and scores.

Consultant on digital assets in financial services, using a pricing study for insights.

I'm like a test taker, answering questions across various subjects.

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.

A professional, detailed study planner and assistant with a positive tone.

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 :)

This bot serves MCQs. Good luck on your exam!

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

I turn class notes into quizzes and study guides

Mechanical Engineering GPT to help study Mechanics & Dynamics topics

Where Should I Study Abroad Test - Find your ideal abroad study location with our free test!

NCLEX-RN study and support assistant

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

A versatile study mate for all educational levels and exams.

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

Trained on 1000+ case studies for real interview experience and solving any consulting case.

I provide engaging summaries and insights on academic case studies with a distinctive tone.