Best AI tools for< Improve Reading >

Readyy is an AI-powered tool designed to help users improve their reading speed and comprehension. It offers free tools and a user-friendly dashboard to track progress. The tool leverages GPT artificial intelligence to ensure fresh tests and provides a global leaderboard for competitive practice. Readyy is beneficial for individuals of all ages, from early childhood development to adult literacy and cognitive aging. It emphasizes the importance of reading comprehension for cognitive growth, academic achievement, and critical thinking in the digital age.

ReadTheory is a free online reading comprehension practice tool for students and teachers. It offers personalized reading comprehension exercises for grades K-12 and ESL students, with adaptive technology that adjusts to each student's specific reading level. ReadTheory also provides teachers with easy-to-use reporting and thousands of interactive exercises and worksheets. With ReadTheory, teachers can save time with automatic marking, track individual student and class progress in real-time, and motivate students to read with engaging class competitions, badges, and prizes.

Flot AI is an AI-powered platform that assists users in writing, reading, and memorizing with the help of Al, the virtual assistant. It provides innovative solutions for enhancing productivity and learning efficiency. With Flot AI, users can create, edit, and organize their written content, improve reading comprehension, and enhance memory retention through personalized techniques and interactive exercises.

ChatGPT is a leading Chinese learning website that offers a comprehensive AI learning experience. It provides tutorials on ChatGPT, GPTs, and AI applications, guiding users from basic principles to advanced usage. The platform also offers ChatGPT Prompt words for various professions and life scenarios, inspiring creativity and productivity. Additionally, MidJourney tutorials focus on AI drawing, particularly suitable for beginners. With AI tools like AI Reading Assistant and GPT Finder, ChatGPT aims to enhance learning, work efficiency, and business success.

Tooltips.ai is an AI-powered reading extension that provides instant definitions, translations, and summaries for any word or phrase you hover over. It is designed to enhance your reading experience by making it easier and faster to understand complex or unfamiliar content. Tooltips.ai integrates seamlessly with your browser, so you can use it on any website or document.

Unriddle is an AI-powered research and writing tool that helps users quickly find, summarize, and understand information from documents. It uses natural language processing and machine learning to generate AI assistants that can be placed on top of any document, providing users with real-time insights and summaries. Unriddle also offers a variety of features to help users write better, including AI-powered autocomplete and grammar checking. With Unriddle, users can save time on research and writing, and produce higher-quality work.

Summate.it is a tool that uses OpenAI to quickly summarize web articles. It is simple and clean, and it can be used to summarize any web article by simply pasting the URL into the text box. Summate.it is a great way to quickly get the gist of an article without having to read the entire thing.

GPT Book Club is an AI-powered platform designed for book lovers who wish to stay updated on the latest literary trends without having to read every book. Users can interact with AI-generated guides and explore a wide range of book recommendations. The platform aims to provide a convenient and efficient way for users to discover new books and enhance their reading experience.

Koodup is an AI-powered learning platform that provides a variety of tools and resources to help students learn and grow. The platform includes a library of interactive puzzles, stories, and videos, as well as a suite of tools for teachers to create and manage their own lessons. Koodup is designed to make learning fun and engaging, and it has been shown to improve student outcomes in a variety of areas.

Summer AI is an AI tool designed to help bloggers and website owners enhance their content by providing short summaries, context, and relevant product suggestions. It offers features such as creating summaries, suggesting products, providing detailed statistics on user behavior, and improving reading time speed. With Summer AI, users can easily connect with their audience, generate more leads, and improve the overall user experience on their websites.

Yomitai is a Japanese reading assistant that helps learners of Japanese to read and understand Japanese text. It provides a variety of features to help learners, including a built-in dictionary, grammar checker, and text-to-speech functionality. Yomitai is available as a web application and as a mobile app for iOS and Android.

Quill.org is a non-profit organization that provides free literacy activities to help students improve their reading comprehension, writing, and language skills. Quill's activities are aligned with the Common Core State Standards and are designed to be engaging and interactive. Quill also offers a variety of resources for teachers, including lesson plans, videos, and professional development opportunities.

Audioread is a web-based application that allows users to read text aloud. It is a simple and easy-to-use tool that can be used by anyone, regardless of their technical ability. Audioread is a great tool for people who want to improve their reading skills, or for people who want to listen to text while they are doing other things.

ReaderMax is a Chrome extension that uses AI to summarize news articles and other text-based content. It helps users save time and improve their reading comprehension by providing concise, easy-to-understand summaries of long and complex articles. ReaderMax is available as a Chrome extension and a side panel in the Chrome browser.

The SAT Reading & Writing Question Generator is an AI-powered tool designed to help students practice for the SAT exam. It generates a wide variety of reading and writing questions to improve students' skills and boost their confidence. With its smart algorithms, the tool provides personalized practice questions tailored to each student's needs, making exam preparation more effective and efficient. The tool is user-friendly and accessible, offering a seamless experience for students to enhance their test-taking abilities.

StoryLang is an AI-powered language learning tool that helps you improve your language skills by reading and listening to stories. With StoryLang, you can generate stories in the language you're learning, according to your preferences. You can choose the elements you want to appear in your stories, select your language, categories, and story style, and let the AI do the rest. Once your story is ready, you can listen to the audio version while reading the text, to help you work on your listening skills. You can also save your expressions to revisit them later. StoryLang is a great way to improve your language skills in a fun and engaging way.

GetQuiz is an AI companion designed to enhance reading efficiency, improve memory retention, and achieve a deeper understanding of the material. It helps users understand and memorize through practice by generating quizzes based on uploaded content. The tool offers personalized quizzes, performance reviews, and scheduled quizzes to aid in learning and retention. GetQuiz seamlessly integrates with Telegram for easy access and convenience.

Wonder AI is a powerful AI tool in the form of a Chrome extension that enhances writing, editing, and reading capabilities. It offers a range of features such as rewriting, spell checking, explaining, fine-tuning, summarizing, and translating content with ease. Users can access these tools with a single click, improving efficiency and effectiveness in their day-to-day tasks. Wonder AI aims to streamline the content creation process and provide users with the best version of their work.

Wiseone is an all-in-one AI tool that helps users save time, improve productivity, and expand knowledge during web searches and online reading. It offers various features such as multilingual PDF support, focus mode for distraction-free reading, cross-checking for diverse perspectives, simplified answers to complex questions, summarization of key takeaways, and exploration of related articles. Wiseone is highly regarded by users for its ease of use, efficiency, and ability to enhance the overall online reading and search experience.

Sead is an AI-powered application that transforms articles into podcasts, offering users the flexibility to read or listen to content at their convenience. By leveraging AI technology, Sead enhances the reading experience by providing audio narration, summarizing key points, and enabling translation into multiple languages. Users can save time, improve understanding, and multitask efficiently with Sead's intelligent features. The app aims to streamline the consumption of information and promote a smarter way of reading and listening.

The 'unilm' repository is a collection of tools, models, and architectures for Foundation Models and General AI, focusing on tasks such as NLP, MT, Speech, Document AI, and Multimodal AI. It includes various pre-trained models, such as UniLM, InfoXLM, DeltaLM, MiniLM, AdaLM, BEiT, LayoutLM, WavLM, VALL-E, and more, designed for tasks like language understanding, generation, translation, vision, speech, and multimodal processing. The repository also features toolkits like s2s-ft for sequence-to-sequence fine-tuning and Aggressive Decoding for efficient sequence-to-sequence decoding. Additionally, it offers applications like TrOCR for OCR, LayoutReader for reading order detection, and XLM-T for multilingual NMT.

The 'awesome-deliberative-prompting' repository focuses on how to ask Large Language Models (LLMs) to produce reliable reasoning and make reason-responsive decisions through deliberative prompting. It includes success stories, prompting patterns and strategies, multi-agent deliberation, reflection and meta-cognition, text generation techniques, self-correction methods, reasoning analytics, limitations, failures, puzzles, datasets, tools, and other resources related to deliberative prompting. The repository provides a comprehensive overview of research, techniques, and tools for enhancing reasoning capabilities of LLMs.

Paper-Reading-ConvAI is a repository that contains a list of papers, datasets, and resources related to Conversational AI, mainly encompassing dialogue systems and natural language generation. This repository is constantly updating.

Wingman AI allows you to use your voice to talk to various AI providers and LLMs, process your conversations, and ultimately trigger actions such as pressing buttons or reading answers. Our _Wingmen_ are like characters and your interface to this world, and you can easily control their behavior and characteristics, even if you're not a developer. AI is complex and it scares people. It's also **not just ChatGPT**. We want to make it as easy as possible for you to get started. That's what _Wingman AI_ is all about. It's a **framework** that allows you to build your own Wingmen and use them in your games and programs. The idea is simple, but the possibilities are endless. For example, you could: * **Role play** with an AI while playing for more immersion. Have air traffic control (ATC) in _Star Citizen_ or _Flight Simulator_. Talk to Shadowheart in Baldur's Gate 3 and have her respond in her own (cloned) voice. * Get live data such as trade information, build guides, or wiki content and have it read to you in-game by a _character_ and voice you control. * Execute keystrokes in games/applications and create complex macros. Trigger them in natural conversations with **no need for exact phrases.** The AI understands the context of your dialog and is quite _smart_ in recognizing your intent. Say _"It's raining! I can't see a thing!"_ and have it trigger a command you simply named _WipeVisors_. * Automate tasks on your computer * improve accessibility * ... and much more

Reinforcement Learning from AI Feedback (RLAIF) is a concept that describes a type of machine learning approach where **an AI agent learns by receiving feedback or guidance from another AI system**. This concept is closely related to the field of Reinforcement Learning (RL), which is a type of machine learning where an agent learns to make a sequence of decisions in an environment to maximize a cumulative reward. In traditional RL, an agent interacts with an environment and receives feedback in the form of rewards or penalties based on the actions it takes. It learns to improve its decision-making over time to achieve its goals. In the context of Reinforcement Learning from AI Feedback, the AI agent still aims to learn optimal behavior through interactions, but **the feedback comes from another AI system rather than from the environment or human evaluators**. This can be **particularly useful in situations where it may be challenging to define clear reward functions or when it is more efficient to use another AI system to provide guidance**. The feedback from the AI system can take various forms, such as: - **Demonstrations** : The AI system provides demonstrations of desired behavior, and the learning agent tries to imitate these demonstrations. - **Comparison Data** : The AI system ranks or compares different actions taken by the learning agent, helping it to understand which actions are better or worse. - **Reward Shaping** : The AI system provides additional reward signals to guide the learning agent's behavior, supplementing the rewards from the environment. This approach is often used in scenarios where the RL agent needs to learn from **limited human or expert feedback or when the reward signal from the environment is sparse or unclear**. It can also be used to **accelerate the learning process and make RL more sample-efficient**. Reinforcement Learning from AI Feedback is an area of ongoing research and has applications in various domains, including robotics, autonomous vehicles, and game playing, among others.

This repository is a comprehensive guide for individuals looking to start and improve their skills in Large Language Models (LLMs) without an advanced background in the field. It provides free resources, online courses, books, articles, and practical tips to become an expert in machine learning. The guide covers topics such as terminology, transformers, prompting, retrieval augmented generation (RAG), and more. It also includes recommendations for podcasts, YouTube videos, and communities to stay updated with the latest news in AI and LLMs.

UpTrain is an open-source unified platform to evaluate and improve Generative AI applications. We provide grades for 20+ preconfigured evaluations (covering language, code, embedding use cases), perform root cause analysis on failure cases and give insights on how to resolve them.

Distilabel is a framework for synthetic data and AI feedback for AI engineers that require high-quality outputs, full data ownership, and overall efficiency. It helps you synthesize data and provide AI feedback to improve the quality of your AI models. With Distilabel, you can: * **Synthesize data:** Generate synthetic data to train your AI models. This can help you to overcome the challenges of data scarcity and bias. * **Provide AI feedback:** Get feedback from AI models on your data. This can help you to identify errors and improve the quality of your data. * **Improve your AI output quality:** By using Distilabel to synthesize data and provide AI feedback, you can improve the quality of your AI models and get better results.

Open-DocLLM is an open-source project that addresses data extraction and processing challenges using OCR and LLM technologies. It consists of two main layers: OCR for reading document content and LLM for extracting specific content in a structured manner. The project offers a larger context window size compared to JP Morgan's DocLLM and integrates tools like Tesseract OCR and Mistral for efficient data analysis. Users can run the models on-premises using LLM studio or Ollama, and the project includes a FastAPI app for testing purposes.

fAIr is an open AI-assisted mapping service developed by the Humanitarian OpenStreetMap Team (HOT) to improve mapping efficiency and accuracy for humanitarian purposes. It uses AI models, specifically computer vision techniques, to detect objects like buildings, roads, waterways, and trees from satellite and UAV imagery. The service allows OSM community members to create and train their own AI models for mapping in their region of interest and ensures models are relevant to local communities. Constant feedback loop with local communities helps eliminate model biases and improve model accuracy.

Reader is a tool that converts any URL to an LLM-friendly input with a simple prefix `https://r.jina.ai/`. It improves the output for your agent and RAG systems at no cost. Reader supports image reading, captioning all images at the specified URL and adding `Image [idx]: [caption]` as an alt tag. This enables downstream LLMs to interact with the images in reasoning, summarizing, etc. Reader offers a streaming mode, useful when the standard mode provides an incomplete result. In streaming mode, Reader waits a bit longer until the page is fully rendered, providing more complete information. Reader also supports a JSON mode, which contains three fields: `url`, `title`, and `content`. Reader is backed by Jina AI and licensed under Apache-2.0.

Awesome-Story-Generation is a repository that curates a comprehensive list of papers related to Story Generation and Storytelling, focusing on the era of Large Language Models (LLMs). The repository includes papers on various topics such as Literature Review, Large Language Model, Plot Development, Better Storytelling, Story Character, Writing Style, Story Planning, Controllable Story, Reasonable Story, and Benchmark. It aims to provide a chronological collection of influential papers in the field, with a focus on citation counts for LLMs-era papers and some earlier influential papers. The repository also encourages contributions and feedback from the community to improve the collection.

This repository contains the code for LongRAG, a framework that enhances retrieval-augmented generation with long-context LLMs. LongRAG introduces a 'long retriever' and a 'long reader' to improve performance by using a 4K-token retrieval unit, offering insights into combining RAG with long-context LLMs. The repo provides instructions for installation, quick start, corpus preparation, long retriever, and long reader.

FiftyOne is an open-source tool designed for building high-quality datasets and computer vision models. It supercharges machine learning workflows by enabling users to visualize datasets, interpret models faster, and improve efficiency. With FiftyOne, users can explore scenarios, identify failure modes, visualize complex labels, evaluate models, find annotation mistakes, and much more. The tool aims to streamline the process of improving machine learning models by providing a comprehensive set of features for data analysis and model interpretation.

This repository contains a collection of sample applications and Jupyter Notebooks for hands-on experience with Pinecone vector databases and common AI patterns, tools, and algorithms. It includes production-ready examples for review and support, as well as learning-optimized examples for exploring AI techniques and building applications. Users can contribute, provide feedback, and collaborate to improve the resource.

llm_benchmarks is a collection of benchmarks and datasets for evaluating Large Language Models (LLMs). It includes various tasks and datasets to assess LLMs' knowledge, reasoning, language understanding, and conversational abilities. The repository aims to provide comprehensive evaluation resources for LLMs across different domains and applications, such as education, healthcare, content moderation, coding, and conversational AI. Researchers and developers can leverage these benchmarks to test and improve the performance of LLMs in various real-world scenarios.

WebLINX is a Python library and dataset for real-world website navigation with multi-turn dialogue. The repository provides code for training models reported in the WebLINX paper, along with a comprehensive API to work with the dataset. It includes modules for data processing, model evaluation, and utility functions. The modeling directory contains code for processing, training, and evaluating models such as DMR, LLaMA, MindAct, Pix2Act, and Flan-T5. Users can install specific dependencies for HTML processing, video processing, model evaluation, and library development. The evaluation module provides metrics and functions for evaluating models, with ongoing work to improve documentation and functionality.

Bee is an easy and high efficiency ORM framework that simplifies database operations by providing a simple interface and eliminating the need to write separate DAO code. It supports various features such as automatic filtering of properties, partial field queries, native statement pagination, JSON format results, sharding, multiple database support, and more. Bee also offers powerful functionalities like dynamic query conditions, transactions, complex queries, MongoDB ORM, cache management, and additional tools for generating distributed primary keys, reading Excel files, and more. The newest versions introduce enhancements like placeholder precompilation, default date sharding, ElasticSearch ORM support, and improved query capabilities.

The Codebase Context Specification (CCS) project aims to standardize embedding contextual information within codebases to enhance understanding for both AI and human developers. It introduces a convention similar to `.env` and `.editorconfig` files but focused on documenting code for both AI and humans. By providing structured contextual metadata, collaborative documentation guidelines, and standardized context files, developers can improve code comprehension, collaboration, and development efficiency. The project includes a linter for validating context files and provides guidelines for using the specification with AI assistants. Tooling recommendations suggest creating memory systems, IDE plugins, AI model integrations, and agents for context creation and utilization. Future directions include integration with existing documentation systems, dynamic context generation, and support for explicit context overriding.

A literary guide for reading improvement and book recommendations

Enhances English reading skills for all inclusive learners, providing supportive, engaging, and culturally sensitive content

I specialize in engaging kids in reading through personalized content.

An English teacher for software programmers, focusing on speaking, reading, and writing.

ChatBOOK是一個專門設計來陪伴用戶閱讀的智能機器人。它能與用戶一起讀書，幫助總結書本的關鍵點，並與用戶就內容進行討論。ChatBOOK還能為用戶推薦一些值得閱讀的書籍。

Taylor Swift-style tutor with visual aids for dyslexia/dyscalculia.

Enjoy this Five-strike book trivia game.

Expert in JLPT Level 1 exam prep, focusing on grammar and vocabulary.

Moved to https://chat.openai.com/g/g-KFnF7qssT-palm-reader . Interprets palm readings from user-uploaded hand images. Turned off setting to use data for OpenAi to improve model.

Moved to https://chat.openai.com/g/g-q6GNcOkYx-face-reader. Reads faces to tell fortunes based on Chinese face reading. Turned off setting to use data for OpenAi to improve model.

Bilingual TOEIC reading coach, explains all answer choices

Phonetics and reading coach with interactive voice capabilities, tailored for adult beginners.

A nurturing tutor dedicated to assisting children in grades K-5, enhancing their reading and literacy skills with patience and encouragement.

Personalized Cybersecurity book and blog recommendations

Expert in comprehensive palm readings.

AI reading assistant enhancing literary and academic text comprehension.

Deep reading assistant for '无穷的开始'

Hi there! 👋 I'm here to help you transform insights from your reading routine into actions and habits! 📚 Let's get started! 🤓

Generates English stories and essays for reading practice, tailored to user's level.

More than your average AI Teacher! A Teacher with a REAL personality👋🏻 Hi there! ❤️ Learn with me Brazilian Portuguese ✅ I coach beginner to advanced level 💬 Practice vocabulary, writing, reading, speaking, or learn a new topic 📲 Use voice in mobile for talking