Best AI tools for< Literature Enthusiast >

Hello Literature is an AI-powered application that allows users to chat with characters from literary masterpieces. It caters to educators, parents, students, and lifelong learners, providing an immersive and interactive experience with fictional characters. The app supports project-based learning, enhances critical thinking, and fosters discussion to make literature classes more dynamic and engaging. With realistic voice generation, Hello Literature brings the world of books to life like never before, transforming screen time into educational time for children and offering a unique dimension of literature exploration for enthusiasts and learners.

Old English Translator is an AI tool designed to convert text from Old English, the earliest form of English spoken during the early Middle Ages, into Modern English. It helps users understand and interpret texts written in Old English, which is significantly different from the English language spoken today.

Emdash is an AI-powered tool designed to help users organize their book highlights effectively. By utilizing AI technology, Emdash can analyze and categorize text snippets, making it easier for users to remember and learn from their readings. The tool offers features such as conceptual cousins, instant semantic search, tagging, rating, note-taking, and reflection capabilities. Users can also export their organized data back to epub format for review on e-readers. Emdash is free, open-source, and aims to provide a seamless reading experience for book enthusiasts.

SciSummary is an AI-powered tool designed to summarize scientific articles and research papers quickly and efficiently. It leverages cutting-edge Artificial Intelligence models like GPT-3.5 and GPT-4 to provide accurate and concise summaries for busy scientists, students, and enthusiasts. With features such as unlimited summaries, figure and table analysis, and easy document import, SciSummary aims to streamline the process of digesting complex scientific content. The tool is widely used by researchers, students, and faculty across major universities in the US, offering a valuable solution for literature review, research trends tracking, and information retrieval.

Seamless is an AI Literature Review Tool for Scientific Research that enables users to draft literature reviews 100x faster by leveraging advanced AI technology. It allows researchers to find relevant papers and create a draft directly from an excerpt of their work. Seamless utilizes the Semantic Scholar database of scientific papers and large language models like GPT-4 to generate literature reviews in various fields such as engineering, computer science, chemistry, biology, law, medicine, pharma, and business. The tool is designed to streamline the process of literature review creation and enhance the efficiency of researchers and students.

Semantic Scholar is a free, AI-powered research tool for scientific literature. It is based at the Allen Institute for AI and provides access to over 217 million papers from all fields of science. Semantic Scholar uses AI to help users discover and explore scientific literature, and to stay up-to-date on the latest research. The tool also includes a number of features to help users manage their research, such as the ability to save papers, create bibliographies, and share research with others.

PrepSup is an AI-powered platform that offers a combination of powerful flashcards, AI tutoring, and PDF analysis tools. It provides a comprehensive solution for students and professionals to enhance their learning experience, improve retention, and analyze PDF documents efficiently. With PrepSup, users can create interactive flashcards, receive personalized tutoring based on AI algorithms, and analyze PDF files for key information. The platform aims to streamline the learning process and make studying more effective and engaging.

PrepSup is a powerful AI-powered learning platform that provides students with personalized study materials, an AI tutor, and a PDF analyzer to help them excel in their studies. With PrepSup, students can create and share flashcards, access a vast library of pre-made flashcards, and get instant feedback on their progress. The AI tutor provides personalized recommendations and guidance, helping students identify areas for improvement and develop effective study strategies. The PDF analyzer extracts key concepts and insights from PDFs, making it easier for students to understand and retain information. Whether you're preparing for a test, writing a paper, or simply trying to learn a new subject, PrepSup is the perfect tool to help you succeed.

ScholarAI is an AI-powered scientific research tool that offers a wide range of features to help users navigate and extract insights from scientific literature. With access to over 200 million peer-reviewed articles, ScholarAI allows users to conduct abstract searches, literature mapping, PDF reading, literature reviews, gap analysis, direct Q&A, table and figure extraction, citation management, and project management. The tool is designed to accelerate the research process and provide tailored scientific insights to users.

Jotlify is an AI-powered platform that simplifies complex research papers, making them accessible and easy to understand for students, researchers, professionals, and curious minds. It transforms dense academic content into engaging stories and insights, bridging the gap between complex research and easy understanding. With Jotlify, users can uncover stories and insights that can transform their understanding and impact various aspects of their lives.

ResearchBuddy is an AI tool designed to automate the process of conducting literature reviews. It helps researchers and students efficiently gather and analyze information from various sources to enhance their research projects. By leveraging artificial intelligence, ResearchBuddy streamlines the review process, saving users time and effort. The platform offers a user-friendly interface and advanced algorithms to deliver accurate and relevant results. With ResearchBuddy, users can access a comprehensive database of scholarly articles and publications, making it easier to stay up-to-date with the latest research trends and findings.

DrugCard is an AI-enabled Data Intelligence platform designed to streamline drug safety routines for pharmacovigilance processes. It offers solutions for local literature screening, catering to CROs, MAHs, and freelancers in the pharmaceutical industry. With support for multiple languages and regions, DrugCard ensures continuous, transparent, and scalable drug safety processes, saving time and improving efficiency. The platform leverages AI technology to enhance pharmacovigilance practices, providing accurate and holistic screening of medical journals to meet regulatory requirements.

Open Knowledge Maps is the world's largest AI-based search engine for scientific knowledge. It aims to revolutionize discovery by increasing the visibility of research findings for science and society. The platform is open and nonprofit, based on the principles of open science, with a mission to create an inclusive, sustainable, and equitable infrastructure for all users. Users can map research topics with AI, find documents, and identify concepts to enhance their literature search experience.

The website is an AI tool that offers access to various AI models like GPT-4o, Claude3 Opus, and Gemini Pro in one application. Users can read Medium articles with AI assistance and enhance their user experience. By clicking 'Agree', users consent to the use of cookies for improved functionality. The platform provides a seamless experience for users to explore content with the help of AI technologies.

Sourcely is an AI-powered tool designed to help students and researchers find academic sources quickly and efficiently. It offers features such as summarizing sources, exporting references, advanced filters, and PDF downloads. Sourcely aims to streamline the research process and save users time by providing credible sources for academic papers.

SciSpace is an AI-powered tool that helps researchers understand research papers better. It can explain and elaborate most academic texts in simple words. It is a great tool for students, researchers, and anyone who wants to learn more about a particular topic. SciSpace has a user-friendly interface and is easy to use. Simply upload a research paper or enter a URL, and SciSpace will do the rest. It will highlight key concepts, provide definitions, and generate a summary of the paper. SciSpace can also be used to generate citations and find related papers.

Researcher.Life is a comprehensive research support platform that provides AI-powered tools and expert publication services to empower researchers at every stage of their journey. With a suite of advanced AI tools, including Paperpal, R Discovery, and Mind the Graph, Researcher.Life helps researchers write better, discover relevant literature, create stunning scientific illustrations, and find the right journals for their work. Additionally, Researcher.Life offers expert publication services from Editage, ensuring that manuscripts are polished and ready for publication. By combining AI technology with human expertise, Researcher.Life simplifies complex research tasks, saves time, and accelerates the path to success for researchers worldwide.

QOVES is a website that provides tools and advice to help people improve their looks. The website offers a variety of services, including facial analysis, hairline design, style advice, and Photoshop retouching. QOVES also has a blog with articles on a variety of topics related to beauty and aesthetics.

BeeDone is a gamified AI daily planner application designed to help users crush tasks, turn routines into wins, maintain habits, and enhance productivity. It offers a range of features such as flexible habit tailoring, smart todo list customization, automatic routine personalization, great focus timer, task splitting, smart organizer, task roulette, Eisen Flow prioritizer, strong habit formation, auto task classification, easy delegation, and guided breathing exercises. Users can choose between a freemium or premium subscription model to access additional features and productivity hacks. BeeDone has received positive feedback from users for its adaptability, automation, and intuitive design, making it a valuable tool for personal and professional task management.

BeeDone is a gamified AI daily planner application designed to help users crush tasks, turn routines into wins, maintain habits, and enhance productivity. The app offers a range of features such as flexible habit tailoring, smart todo lists, automatic routine personalization, great focus enhancement, task splitting, smart organization, task roulette, Eisen Flow prioritization, strong habit formation, auto task classification, easy delegation, and guided breathing exercises. BeeDone aims to simplify life effortlessly, inspire users, reduce stress, and boost productivity by providing a personalized task management experience. The application offers both freemium and premium subscription options, with the premium plan granting access to additional productivity hacks and community features.

Open Life Science AI: Medical Reasoning Tasks is a collaborative hub for developing cutting-edge reasoning tasks for Large Language Models (LLMs) in the medical, healthcare, and clinical domains. The repository aims to advance AI capabilities in healthcare by fostering accurate diagnoses, personalized treatments, and improved patient outcomes. It offers a diverse range of medical reasoning challenges such as Diagnostic Reasoning, Treatment Planning, Medical Image Analysis, Clinical Data Interpretation, Patient History Analysis, Ethical Decision Making, Medical Literature Comprehension, and Drug Interaction Assessment. Contributors can join the community of healthcare professionals, AI researchers, and enthusiasts to contribute to the repository by creating new tasks or improvements following the provided guidelines. The repository also provides resources including a task list, evaluation metrics, medical AI papers, and healthcare datasets for training and evaluation.

Awesome AI Tools is a curated list of popular tools and resources for artificial intelligence enthusiasts. It includes a wide range of tools such as machine learning libraries, deep learning frameworks, data visualization tools, and natural language processing resources. Whether you are a beginner or an experienced AI practitioner, this repository aims to provide you with a comprehensive collection of tools to enhance your AI projects and research. Explore the list to discover new tools, stay updated with the latest advancements in AI technology, and find the right resources to support your AI endeavors.

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.

Cool-GenAI-Fashion-Papers is a curated list of resources related to GenAI-Fashion, including papers, workshops, companies, and products. It covers a wide range of topics such as fashion design synthesis, outfit recommendation, fashion knowledge extraction, trend analysis, and more. The repository provides valuable insights and resources for researchers, industry professionals, and enthusiasts interested in the intersection of AI and fashion.

ai-collective-tools is an open-source community dedicated to creating a comprehensive collection of AI tools for developers, researchers, and enthusiasts. The repository provides a curated selection of AI tools and resources across various categories such as 3D, Agriculture, Art, Audio Editing, Avatars, Chatbots, Code Assistant, Cooking, Copywriting, Crypto, Customer Support, Dating, Design Assistant, Design Generator, Developer, E-Commerce, Education, Email Assistant, Experiments, Fashion, Finance, Fitness, Fun Tools, Gaming, General Writing, Gift Ideas, HealthCare, Human Resources, Image Classification, Image Editing, Image Generator, Interior Designing, Legal Assistant, Logo Generator, Low Code, Models, Music, Paraphraser, Personal Assistant, Presentations, Productivity, Prompt Generator, Psychology, Real Estate, Religion, Research, Resume, Sales, Search Engine, SEO, Shopping, Social Media, Spreadsheets, SQL, Startup Tools, Story Teller, Summarizer, Testing, Text to Speech, Text to Image, Transcriber, Travel, Video Editing, Video Generator, Weather, Writing Generator, and Other Resources.

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.

The 'llms-tools' repository is a comprehensive collection of AI tools, open-source projects, and research related to Large Language Models (LLMs) and Chatbots. It covers a wide range of topics such as AI in various domains, open-source models, chats & assistants, visual language models, evaluation tools, libraries, devices, income models, text-to-image, computer vision, audio & speech, code & math, games, robotics, typography, bio & med, military, climate, finance, and presentation. The repository provides valuable resources for researchers, developers, and enthusiasts interested in exploring the capabilities of LLMs and related technologies.

Notes on AI state of the art, with a focus on generative and large language models. These are the "raw materials" for the https://lspace.swyx.io/ newsletter. This repo used to be called https://github.com/sw-yx/prompt-eng, but was renamed because Prompt Engineering is Overhyped. This is now an AI Engineering notes repo.

AI Audio Datasets List (AI-ADL) is a comprehensive collection of datasets consisting of speech, music, and sound effects, used for Generative AI, AIGC, AI model training, and audio applications. It includes datasets for speech recognition, speech synthesis, music information retrieval, music generation, audio processing, sound synthesis, and more. The repository provides a curated list of diverse datasets suitable for various AI audio tasks.

This repository is a collection of papers and resources related to recommendation systems, focusing on foundation models, transferable recommender systems, large language models, and multimodal recommender systems. It explores questions such as the necessity of ID embeddings, the shift from matching to generating paradigms, and the future of multimodal recommender systems. The papers cover various aspects of recommendation systems, including pretraining, user representation, dataset benchmarks, and evaluation methods. The repository aims to provide insights and advancements in the field of recommendation systems through literature reviews, surveys, and empirical studies.

The collection is actively updated with the help of an internal literature search engine.

Data-to-paper is an AI-driven framework designed to guide users through the process of conducting end-to-end scientific research, starting from raw data to the creation of comprehensive and human-verifiable research papers. The framework leverages a combination of LLM and rule-based agents to assist in tasks such as hypothesis generation, literature search, data analysis, result interpretation, and paper writing. It aims to accelerate research while maintaining key scientific values like transparency, traceability, and verifiability. The framework is field-agnostic, supports both open-goal and fixed-goal research, creates data-chained manuscripts, involves human-in-the-loop interaction, and allows for transparent replay of the research process.

A repository sharing the panorama of the methodology literature on Transformer architecture upgrades in Large Language Models for handling extensive context windows, with real-time updating the newest published works. It includes a survey on advancing Transformer architecture in long-context large language models, flash-ReRoPE implementation, latest news on data engineering, lightning attention, Kimi AI assistant, chatglm-6b-128k, gpt-4-turbo-preview, benchmarks like InfiniteBench and LongBench, long-LLMs-evals for evaluating methods for enhancing long-context capabilities, and LLMs-learning for learning technologies and applicated tasks about Large Language Models.

The repository 'Awesome-LLM4Cybersecurity' provides a comprehensive overview of the applications of Large Language Models (LLMs) in cybersecurity. It includes a systematic literature review covering topics such as constructing cybersecurity-oriented domain LLMs, potential applications of LLMs in cybersecurity, and research directions in the field. The repository analyzes various benchmarks, datasets, and applications of LLMs in cybersecurity tasks like threat intelligence, fuzzing, vulnerabilities detection, insecure code generation, program repair, anomaly detection, and LLM-assisted attacks.

This repository provides a comprehensive collection of AI tools and resources to enhance literature reviews. It includes a curated list of AI tools for various tasks, such as identifying research gaps, discovering relevant papers, visualizing paper content, and summarizing text. Additionally, the repository offers materials on generative AI, effective prompts, copywriting, image creation, and showcases of AI capabilities. By leveraging these tools and resources, researchers can streamline their literature review process, gain deeper insights from scholarly literature, and improve the quality of their research outputs.

This repository provides a systematic and comprehensive review of efficient LLMs research. We organize the literature in a taxonomy consisting of three main categories, covering distinct yet interconnected efficient LLMs topics from **model-centric** , **data-centric** , and **framework-centric** perspective, respectively. We hope our survey and this GitHub repository can serve as valuable resources to help researchers and practitioners gain a systematic understanding of the research developments in efficient LLMs and inspire them to contribute to this important and exciting field.

K2 (GeoLLaMA) is a large language model for geoscience, trained on geoscience literature and fine-tuned with knowledge-intensive instruction data. It outperforms baseline models on objective and subjective tasks. The repository provides K2 weights, core data of GeoSignal, GeoBench benchmark, and code for further pretraining and instruction tuning. The model is available on Hugging Face for use. The project aims to create larger and more powerful geoscience language models in the future.

Knowledge Conflicts for LLMs: A Survey is a repository containing a survey paper that investigates three types of knowledge conflicts: context-memory conflict, inter-context conflict, and intra-memory conflict within Large Language Models (LLMs). The survey reviews the causes, behaviors, and possible solutions to these conflicts, providing a comprehensive analysis of the literature in this area. The repository includes detailed information on the types of conflicts, their causes, behavior analysis, and mitigating solutions, offering insights into how conflicting knowledge affects LLMs and how to address these conflicts.

A literature enthusiast sharing book recommendations and reading tips.

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。

A book enthusiast who suggests, summarizes, and notes on books.

Unveiling the shadows of the Gothic scene

Deep reading assistant for '无穷的开始'

Engaging, friendly guide for academic literature reviews using research question or topic

Summarizes academic papers, explains figures and tables.

Expert in suggesting literature based on topics, with detailed insights.

for relevant literature review and recent

I assist scientists with literature and social media.

日本のみならず世界の純文学をアンデルセン童話化します。(It is a translation of Andersen's fairy tales from pure literature not only in Japan but also from around the world.)

Writes main argument in referenced academic paragraphs.

Expert in classic literature and film adaptations, offering in-depth analysis and comparisons in Chinese and English.

A scholarly literary advisor specializing in British and American literature.

Analytical and encouraging literature review assistant.

Your guide to the world of literature and fiction, linking to current events and notable works.

Expert in literature and Shakespeare's works, helping to write and analyze texts.

Confident advisor for literature search, focusing on broad contexts.

A scholar in Hindu literature providing positive, brief insights against negativity.

I break down classic literature with playful rhymes.