Best AI tools for< Memorize New Words >

NewWord is an AI-powered language learning tool designed to help users memorize and expand their vocabulary efficiently. It offers innovative features such as personalized word management solutions, AI-powered insights, and a unique traceability system. The application aims to make language learning more convenient and enjoyable by providing diversified review strategies and daily reminders. NewWord is suitable for individuals looking to enhance their linguistic skills through practical exercises and scenario-based learning modules.

AnkiDecks is an online tool that helps users generate flashcards from files or text using AI. It supports various file formats, including PDFs, Word documents, PowerPoint presentations, and text files. The generated flashcards can be used for studying purposes, particularly for language learning. AnkiDecks also offers features such as cloze (fill-in-the-blank) flashcards and text-to-speech functionality for language flashcards. Users can import the generated flashcards into the popular flashcard software Anki for further review and practice.

Memrizz is an AI-powered flashcard generator that helps you create personalized flashcards for effective learning. With Memrizz, you can easily create flashcards from text, images, or audio files, and customize them to fit your learning style. Memrizz also provides spaced repetition and gamification features to make learning more engaging and efficient.

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.

heyCLI is a command-line interface (CLI) tool that allows users to interact with their Linux systems using natural language. It is designed to make it easier for users to perform common tasks without having to memorize complex commands. heyCLI is still in its early stages of development, but it has the potential to be a valuable tool for both new and experienced Linux users.

StudyCards App is an AI-powered flashcards maker that allows users to create custom flashcard decks with the assistance of Artificial Intelligence. The app features a paper-and-sticky-note interface and an embedded text-to-speech engine for easy memorization and study. It is designed to help users with various learning styles and reading disorders by providing a convenient and accessible platform for creating and organizing study materials.

Thea is an AI-powered study tool designed to help students maximize their study time and achieve better results with less effort. It offers a variety of features such as smart study flashcards, test generator, and personalized study kits across different subjects. The platform incorporates research-backed studying methods like active recall, spaced repetition, and question variety to enhance learning and retention. Thea also provides a mobile app for on-the-go studying and a community platform for students to share success stories and study tips.

ReliveAI is a no-code AI platform that simplifies building AI-powered workflows and agents, enabling rapid business process automation with a user-friendly interface. It offers prebuilt AI Agents to transform business operations, customizable AI workflows tailored to user data, and seamless integration with multiple AI models and APIs. The platform enhances Salesforce with advanced NLP, translates natural language into precise SQL queries, and provides automation for Airtable, Gmail, Notion, Slack, and Google Drive. ReliveAI aims to optimize processes, improve decision-making, and unlock the full potential of user data.

Flashka is an AI-powered study tool designed to help users learn faster through flashcards, quizzes, and explanations. It generates personalized study materials from any content, making studying more efficient and effective. With features like AI flashcards, quizzes, and spaced repetition algorithm, Flashka aims to support students in mastering knowledge and boosting confidence in their learning journey.

PaperClip is an AI tool designed to help users keep track of their daily AI papers review. It allows users to memorize details from papers in machine learning, computer vision, and natural language processing. The tool offers an extension that enables users to find back important findings from AI research papers, ML blog posts, and news. PaperClip's AI runs locally, ensuring data privacy by not sending any information to external servers. Users can save and index their bits locally, with offline support for searching even without an internet connection. The tool also provides the ability to clean data by resetting saved bits or deleting all data.

ChatGPTGuide.ai is an AI tool designed to provide easy-to-follow guides and tips for normal users on various topics such as productivity, career development, personal goals, and more. It offers a wide range of resources and prompts to help users leverage the power of AI, specifically ChatGPT, in their daily tasks and activities. The website aims to simplify complex AI concepts and make them accessible to a broader audience, empowering individuals to enhance their skills and achieve their goals with the help of artificial intelligence.

Memgrain is an AI-powered study tool that offers a range of features to help users create, study, memorize, and learn through flashcards and book summaries. The platform leverages AI technology to generate interactive flashcards from various sources like notes, PDFs, and webpages. Users can utilize spaced repetition algorithms for effective memorization and personalized learning experiences. Memgrain aims to revolutionize the way knowledge is absorbed and retained by combining academic rigor with innovative technology.

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

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.

Flot AI is an AI-powered writing, reading, and memorization tool that seamlessly integrates into your daily workflow. It is backed by OpenAI and designed to assist users across various apps and websites. With features like AI memory, grammar correction, composing drafts, and expert prompts, Flot AI aims to enhance users' productivity and creativity. The application supports over 200 languages and offers a universal solution for writing and memory tasks at a competitive price point.

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.

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)

This repository contains a hand-curated list of great machine (deep) learning resources for Natural Language Processing (NLP) with a focus on Generative Pre-trained Transformer (GPT), Bidirectional Encoder Representations from Transformers (BERT), attention mechanism, Transformer architectures/networks, Chatbot, and transfer learning in NLP.

A repository that lists papers related to Large Language Model (LLM) based agents. The repository covers various topics including survey, planning, feedback & reflection, memory mechanism, role playing, game playing, tool usage & human-agent interaction, benchmark & evaluation, environment & platform, agent framework, multi-agent system, and agent fine-tuning. It provides a comprehensive collection of research papers on LLM-based agents, exploring different aspects of AI agent architectures and applications.

Skyvern automates browser-based workflows using LLMs and computer vision. It provides a simple API endpoint to fully automate manual workflows, replacing brittle or unreliable automation solutions. Traditional approaches to browser automations required writing custom scripts for websites, often relying on DOM parsing and XPath-based interactions which would break whenever the website layouts changed. Instead of only relying on code-defined XPath interactions, Skyvern adds computer vision and LLMs to the mix to parse items in the viewport in real-time, create a plan for interaction and interact with them. This approach gives us a few advantages: 1. Skyvern can operate on websites it’s never seen before, as it’s able to map visual elements to actions necessary to complete a workflow, without any customized code 2. Skyvern is resistant to website layout changes, as there are no pre-determined XPaths or other selectors our system is looking for while trying to navigate 3. Skyvern leverages LLMs to reason through interactions to ensure we can cover complex situations. Examples include: 1. If you wanted to get an auto insurance quote from Geico, the answer to a common question “Were you eligible to drive at 18?” could be inferred from the driver receiving their license at age 16 2. If you were doing competitor analysis, it’s understanding that an Arnold Palmer 22 oz can at 7/11 is almost definitely the same product as a 23 oz can at Gopuff (even though the sizes are slightly different, which could be a rounding error!) Want to see examples of Skyvern in action? Jump to #real-world-examples-of- skyvern

LLM-PowerHouse is a comprehensive and curated guide designed to empower developers, researchers, and enthusiasts to harness the true capabilities of Large Language Models (LLMs) and build intelligent applications that push the boundaries of natural language understanding. This GitHub repository provides in-depth articles, codebase mastery, LLM PlayLab, and resources for cost analysis and network visualization. It covers various aspects of LLMs, including NLP, models, training, evaluation metrics, open LLMs, and more. The repository also includes a collection of code examples and tutorials to help users build and deploy LLM-based applications.

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.

LLM Agents Papers is a repository containing must-read papers on Large Language Model Agents. It covers a wide range of topics related to language model agents, including interactive natural language processing, large language model-based autonomous agents, personality traits in large language models, memory enhancements, planning capabilities, tool use, multi-agent communication, and more. The repository also provides resources such as benchmarks, types of tools, and a tool list for building and evaluating language model agents. Contributors are encouraged to add important works to the repository.

Refact.ai is an open-source AI coding assistant that boosts developer's productivity. It supports 25+ programming languages and offers features like code completion, AI Toolbox for code explanation and refactoring, integrated in-IDE chat, and self-hosting or cloud version. The Enterprise plan provides enhanced customization, security, fine-tuning, user statistics, efficient inference, priority support, and access to 20+ LLMs for up to 50 engineers per GPU.

llm-finetuning is a repository that provides a serverless twist to the popular axolotl fine-tuning library using Modal's serverless infrastructure. It allows users to quickly fine-tune any LLM model with state-of-the-art optimizations like Deepspeed ZeRO, LoRA adapters, Flash attention, and Gradient checkpointing. The repository simplifies the fine-tuning process by not exposing all CLI arguments, instead allowing users to specify options in a config file. It supports efficient training and scaling across multiple GPUs, making it suitable for production-ready fine-tuning jobs.

Prompt4ReasoningPapers is a repository dedicated to reasoning with language model prompting. It provides a comprehensive survey of cutting-edge research on reasoning abilities with language models. The repository includes papers, methods, analysis, resources, and tools related to reasoning tasks. It aims to support various real-world applications such as medical diagnosis, negotiation, etc.

AI-PhD-S25 is a mono-repo for the DOTE 6635 course on AI for Business Research at CUHK Business School. The course aims to provide a fundamental understanding of ML/AI concepts and methods relevant to business research, explore applications of ML/AI in business research, and discover cutting-edge AI/ML technologies. The course resources include Google CoLab for code distribution, Jupyter Notebooks, Google Sheets for group tasks, Overleaf template for lecture notes, replication projects, and access to HPC Server compute resource. The course covers topics like AI/ML in business research, deep learning basics, attention mechanisms, transformer models, LLM pretraining, posttraining, causal inference fundamentals, and more.

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

This leaderboard evaluates the hallucination rate of various Large Language Models (LLMs) when summarizing documents. It uses a model trained by Vectara to detect hallucinations in LLM outputs. The leaderboard includes models from OpenAI, Anthropic, Google, Microsoft, Amazon, and others. The evaluation is based on 831 documents that were summarized by all the models. The leaderboard shows the hallucination rate, factual consistency rate, answer rate, and average summary length for each model.

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.

This repository does not provide a tool, but rather a collection of resources and strategies for academics in the field of artificial intelligence who are feeling depressed or overwhelmed by the rapid advancements in the field. The resources include articles, blog posts, and other materials that offer advice on how to cope with the challenges of working in a fast-paced and competitive environment.

The Awesome-System2-Reasoning-LLM repository is dedicated to a survey paper titled 'From System 1 to System 2: A Survey of Reasoning Large Language Models'. It explores the development of reasoning Large Language Models (LLMs), their foundational technologies, benchmarks, and future directions. The repository provides resources and updates related to the research, tracking the latest developments in the field of reasoning LLMs.

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Summarize to Memorize

Interactive memorization assistant using advanced techniques

Convert knowledge into flashcard format

Expert in creating high-yield Anki flashcards, offering tailored advice and flashcard creation.

为帮助你记忆寒假作业中英语3000词而生

Assists in memorizing Bible and Orthodox Christian texts.

I help actors study scripts. Please tell me exactly what do you need. I can reed your lines in a doc or pdf.

Level up Anki skill and master your memory. Trained with Anki official documents and popular SRS articles.

Multilingual flashcard generator

Master language complexities with tailored mind maps that enhance understanding and bolster memory. Explore linguistic patterns in a visually engaging way. 🧠🗺️