Best AI tools for< Study Slides >

Memo is an AI-powered tool designed to transform course materials into instant notes, flashcards, and quizzes in seconds. It automates flashcard creation, offers personalized learning experiences, and saves valuable study time. Trusted by educators and learners worldwide, Memo covers 24 diverse disciplines and supports over 100 languages. The tool is built by medical students to streamline the study process, enhance learning experiences, and improve study efficiency.

FGenEds is a web application developed by SPHERE LABS that aims to simplify the process of studying for general education classes. The tool allows users to convert lengthy lecture slides into concise cheat sheets, making it easier to review and retain important information. By uploading a PDF of lecture slides, users can quickly generate a summarized version for efficient studying. FGenEds streamlines the study process and helps students focus on key concepts without getting overwhelmed by excessive content.

SlideNotes is a web application that transforms presentations and PDF files into readable notes automatically. It simplifies the process of converting lengthy slides into concise and comprehensive notes, making studying and post-meeting tasks more efficient and effective. SlideNotes caters to both students and professionals, providing a practical path to success by saving time and boosting productivity.

Wisdolia is an AI-powered flashcard maker that helps you create flashcards in seconds, not hours. With Wisdolia, you can easily create beautiful flashcards with images, audio, and text. You can also share your flashcards with others and collaborate on projects.

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 technology. It optimizes revision by considering subjects, topics, and assessment dates. The platform 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.

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 and tools for individuals interested in studying the Hebrew Bible. The site offers a wide range of materials such as translations, commentaries, and study guides to help users deepen their understanding of the sacred text. Whether you are a beginner looking to explore the basics or a seasoned scholar seeking in-depth analysis, Hebrew Bible Study aims to support your journey of learning and discovery.

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.

OmniSets is an ultimate flashcard tool that helps students learn efficiently. It combines advanced machine learning algorithms and incorporates them throughout the platform. OmniSets offers various modes, from spaced repetition to matching games and AI tools, to make studying easier. Users can create and organize study sets, search from over 250k+ public study sets, and take advantage of the spell tool to write terms and definitions. OmniSets is a community-driven platform that values user feedback and is constantly updating and improving its features.

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.

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.

Synaptiq Learning is an AI-powered learning platform designed for studying medicine. It utilizes cutting-edge algorithms to personalize review schedules through evidence-backed spaced repetition techniques. The platform offers features such as personalized review schedules, personal stats tracking, dark mode for night learning, deck sharing for collaboration, algorithm tuning for customization, and controller support for an enhanced study experience.

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.

LectoMate is an AI-driven study companion that transforms lecture files into comprehensive study materials such as key points, study guides, mind maps, flashcards, and tailored questions. It streamlines the educational journey for both students and educators by harnessing the power of advanced AI to enhance teaching and learning in mere minutes. LectoMate allows users to effortlessly generate customized study materials from their lecture notes through an intuitive platform.

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.

Raena AI is an AI-powered application designed to transform study notes into interactive quizzes, making studying more engaging and efficient. It helps students improve retention, reduce stress, and enhance learning outcomes by providing personalized assistance, collaborative learning features, and summarization capabilities. With a focus on student needs and study habits, Raena AI aims to revolutionize the traditional study methods and empower learners to study smarter, not harder.

CheatGPT is an AI-powered virtual study assistant designed to help students with their academic queries. It offers fast and accurate answers to a wide range of questions, covering various subjects. The application utilizes advanced AI models like GPT-4o and Claude 3.5 Sonnet to provide personalized assistance to users. In addition to text-based queries, CheatGPT also supports image-based questions, translations, and grammar corrections. With a user-friendly interface, CheatGPT aims to enhance the learning experience for students worldwide.

Monic.ai is an all-in-one AI-powered study platform that revolutionizes the way students learn. It offers a suite of tools for creating personalized study materials, including quizzes, flashcards, and summaries, all aimed at enhancing learning efficiency. The platform uses advanced AI to provide tailored learning experiences, making study sessions more effective and engaging. Monic.ai caters to students at various academic levels, educators, and professionals looking to upskill, offering tools and support to achieve their learning goals.

AIDE @ unipi is a repository containing students' material for the course in Artificial Intelligence and Data Engineering at University of Pisa. It includes slides, students' notes, information about exams methods, oral questions, past exams, and links to past students' projects. The material is unofficial and created by students for students, checked only by students. Contributions are welcome through pull requests, issues, or contacting maintainers. The repository aims to provide non-profit resources for the course, with the opportunity for contributors to be acknowledged and credited. It also offers links to Telegram and WhatsApp groups for further interaction and a Google Drive folder with additional resources for AIDE published by past students.

AnkiGPT is a tool that leverages GPT-3.5 or GPT-4 by OpenAI to generate flashcards from lecture slides or text input. Users can easily export the generated flashcards to Anki for effective learning. The tool allows users to edit, delete, and share flashcards, as well as generate mnemonics. AnkiGPT supports nearly all languages and ensures user privacy by not using submitted content for AI training. While powerful, the tool has limitations such as occasional errors in generated flashcards and challenges with mathematical equations. AnkiGPT is designed specifically for Anki flashcard app integration and encourages users to review and verify flashcard information for accuracy.

PPTAgent is an innovative system that automatically generates presentations from documents. It employs a two-step process for quality assurance and introduces PPTEval for comprehensive evaluation. With dynamic content generation, smart reference learning, and quality assessment, PPTAgent aims to streamline presentation creation. The tool follows an analysis phase to learn from reference presentations and a generation phase to develop structured outlines and cohesive slides. PPTEval evaluates presentations based on content accuracy, visual appeal, and logical coherence.

This repository is dedicated to enhancing Language Model (LLM) reasoning with reinforcement learning (RL). It includes a collection of the latest papers, slides, and materials related to RL-based LLM reasoning, aiming to facilitate quick learning and understanding in this field. Starring this repository allows users to stay updated and engaged with the forefront of RL-based LLM reasoning.

This repository provides a comprehensive list of academic papers, articles, tutorials, slides, and projects related to Large Language Model (LLM) systems. It covers various aspects of LLM research, including pre-training, serving, system efficiency optimization, multi-model systems, image generation systems, LLM applications in systems, ML systems, survey papers, LLM benchmarks and leaderboards, and other relevant resources. The repository is regularly updated to include the latest developments in this rapidly evolving field, making it a valuable resource for researchers, practitioners, and anyone interested in staying abreast of the advancements in LLM technology.

Awesome Khmer Language is a comprehensive collection of resources for the Khmer language, including tools, datasets, research papers, projects/models, blogs/slides, and miscellaneous items. It covers a wide range of topics related to Khmer language processing, such as character normalization, word segmentation, part-of-speech tagging, optical character recognition, text-to-speech, and more. The repository aims to support the development of natural language processing applications for the Khmer language by providing a diverse set of resources and tools for researchers and developers.

Atom is an accurate low-bit weight-activation quantization algorithm that combines mixed-precision, fine-grained group quantization, dynamic activation quantization, KV-cache quantization, and efficient CUDA kernels co-design. It introduces a low-bit quantization method, Atom, to maximize Large Language Models (LLMs) serving throughput with negligible accuracy loss. The codebase includes evaluation of perplexity and zero-shot accuracy, kernel benchmarking, and end-to-end evaluation. Atom significantly boosts serving throughput by using low-bit operators and reduces memory consumption via low-bit quantization.

UglyFeed is a simple Python application designed to retrieve, aggregate, filter, rewrite, evaluate, and serve content (RSS feeds) written by a large language model. It provides features such as retrieving RSS feeds, aggregating feed items by similarity, rewriting content using various APIs, saving rewritten feeds to JSON files, converting JSON to valid RSS feed, serving XML feed via an HTTP server, deploying XML feed to GitHub or GitLab, and evaluating generated content. The tool can be used for smart content curation, dynamic blog generation, interactive educational tools, personalized reading experiences, brand monitoring, multilingual content delivery, enhanced RSS feeds, creative writing assistance, content repurposing, and fake news detection datasets. It is modular, extensible, and aims to empower users in content manipulation and delivery.

The W3C Cognitive AI Community Group focuses on advancing Cognitive AI through collaboration on defining use cases, open source implementations, and application areas. The group aims to demonstrate the potential of Cognitive AI in various domains such as customer services, healthcare, cybersecurity, online learning, autonomous vehicles, manufacturing, and web search. They work on formal specifications for chunk data and rules, plausible knowledge notation, and neural networks for human-like AI. The group positions Cognitive AI as a combination of symbolic and statistical approaches inspired by human thought processes. They address research challenges including mimicry, emotional intelligence, natural language processing, and common sense reasoning. The long-term goal is to develop cognitive agents that are knowledgeable, creative, collaborative, empathic, and multilingual, capable of continual learning and self-awareness.

The 'Awesome LLMs Planning Reasoning' repository is a curated collection focusing on exploring the capabilities of Large Language Models (LLMs) in planning and reasoning tasks. It includes research papers, code repositories, and benchmarks that delve into innovative techniques, reasoning limitations, and standardized evaluations related to LLMs' performance in complex cognitive tasks. The repository serves as a comprehensive resource for researchers, developers, and enthusiasts interested in understanding the advancements and challenges in leveraging LLMs for planning and reasoning in real-world scenarios.

LLM4DB is a repository focused on the intersection of Large Language Models (LLMs) and Database technologies. It covers various aspects such as data processing, data analysis, database optimization, and data management for LLMs. The repository includes research papers, tools, and techniques related to leveraging LLMs for tasks like data cleaning, entity matching, schema matching, data discovery, NL2SQL, data exploration, data visualization, knob tuning, query optimization, and database diagnosis.

Awesome-Embedded is a curated list of resources for embedded systems enthusiasts. It covers a wide range of topics including MCU programming, RTOS, Linux kernel development, assembly programming, machine learning & AI on MCU, utilities, tips & tricks, and more. The repository provides valuable information, tutorials, and tools for individuals interested in embedded systems development.

The Everything-LLMs-And-Robotics repository is the world's largest GitHub repository focusing on the intersection of Large Language Models (LLMs) and Robotics. It provides educational resources, research papers, project demos, and Twitter threads related to LLMs, Robotics, and their combination. The repository covers topics such as reasoning, planning, manipulation, instructions and navigation, simulation frameworks, perception, and more, showcasing the latest advancements in the field.

STORM is a LLM system that writes Wikipedia-like articles from scratch based on Internet search. While the system cannot produce publication-ready articles that often require a significant number of edits, experienced Wikipedia editors have found it helpful in their pre-writing stage. **Try out our [live research preview](https://storm.genie.stanford.edu/) to see how STORM can help your knowledge exploration journey and please provide feedback to help us improve the system 🙏!**

Awesome-Segment-Anything is a powerful tool for segmenting and extracting information from various types of data. It provides a user-friendly interface to easily define segmentation rules and apply them to text, images, and other data formats. The tool supports both supervised and unsupervised segmentation methods, allowing users to customize the segmentation process based on their specific needs. With its versatile functionality and intuitive design, Awesome-Segment-Anything is ideal for data analysts, researchers, content creators, and anyone looking to efficiently extract valuable insights from complex datasets.

EvoMaster is an open-source AI-driven tool that automatically generates system-level test cases for web/enterprise applications. It uses Evolutionary Algorithm and Dynamic Program Analysis to evolve test cases, maximizing code coverage and fault detection. It supports REST, GraphQL, and RPC APIs, with whitebox testing for JVM-compiled APIs. The tool generates JUnit tests in Java or Kotlin, focusing on fault detection, self-contained tests, SQL handling, and authentication. Known limitations include manual driver creation for whitebox testing and longer execution times for better results. EvoMaster has been funded by ERC and RCN grants.

The 100 Days in AI repository provides a comprehensive roadmap for individuals to learn Artificial Intelligence over a period of 100 days. It covers topics ranging from basic programming in Python to advanced concepts in AI, including machine learning, deep learning, and specialized AI topics. The repository includes daily tasks, resources, and exercises to ensure a structured learning experience. By following this roadmap, users can gain a solid understanding of AI and be prepared to work on real-world AI projects.

This repository is a curated collection of resources for fine-tuning Large Language Models (LLMs) like GPT, BERT, RoBERTa, and their variants. It includes tutorials, papers, tools, frameworks, and best practices to aid researchers, data scientists, and machine learning practitioners in adapting pre-trained models to specific tasks and domains. The resources cover a wide range of topics related to fine-tuning LLMs, providing valuable insights and guidelines to streamline the process and enhance model performance.

ChatGPT Queue Prompts is a collection of prompt chains designed to enhance interactions with large language models like ChatGPT. These prompt chains help build context for the AI before performing specific tasks, improving performance. Users can copy and paste prompt chains into the ChatGPT Queue extension to process prompts in sequence. The repository includes example prompt chains for tasks like conducting AI company research, building SEO optimized blog posts, creating courses, revising resumes, enriching leads for CRM, personal finance document creation, workout and nutrition plans, marketing plans, and more.

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