Best AI tools for< Learn Through Literature >

Hello History is an AI-powered application that allows users to engage in life-like conversations with historical figures. The app aims to transform the way history is learned by providing an immersive and educational experience through AI-generated interactions with influential personalities from the past. With state-of-the-art AI technology, Hello History offers users the opportunity to explore various topics, gain new insights, and enhance their knowledge in a unique and engaging way.

Rayyan is an intelligent systematic review tool trusted by over 500,000 researchers worldwide. It helps users organize, manage, and accelerate collaborative systematic literature reviews. Rayyan empowers users to work remotely and collaborate with distributed research teams, offering membership packages with onboarding, training, and priority support. The tool is designed to understand language, learn from user decisions, and facilitate quick navigation through systematic reviews. Rayyan also provides solutions for organizations and businesses to streamline research processes and save valuable researcher time.

Mighil is a personal blog website maintained by Mighil, a generalist based in Chengdu. The site serves as a platform for Mighil to share his diverse work experiences in technology and writing through blog posts covering topics such as literature, movies, technology, and personal reflections. Visitors can explore Mighil's insights, interests, and learnings on various subjects.

Acrostic.AI is an online tool that generates acrostic poems, which are poems where the first letters of each line spell out a hidden word or message. The tool allows users to create personalized acrostics for names, words, or themes, combining creativity with a brain game. Acrostic.AI provides tips and tricks for creating effective acrostics, explores the history and fun aspects of acrostic poems, and offers examples and famous acrostics in literature. Additionally, the tool introduces mnemonic phrases as memory aids, explaining their types and benefits in helping users remember information through creative associations.

TalkDirtyAI is an AI-powered chatbot that allows users to explore their fantasies through simulated conversations. It is designed to provide a safe and private space for users to explore their sexuality and desires without judgment. The chatbot is trained on a massive dataset of erotic literature and is able to generate realistic and engaging conversations. It can also learn about the user's preferences over time and tailor the conversations accordingly.

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.

LingoSub is a language learning platform that allows users to learn new languages by watching videos with subtitles and AI-powered translations. With a vast library of videos in multiple languages, learners can immerse themselves in content that interests them while expanding their vocabulary and language skills. The platform offers a community of language learners, various pricing plans, and a responsive interface for seamless learning across devices.

Nativish is an AI-powered writing tool that enables users to produce content in any language at a native-level proficiency. The application leverages advanced natural language processing algorithms to assist users in crafting high-quality written material effortlessly. With Nativish, language barriers are overcome, and users can create compelling and authentic content in multiple languages with ease.

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.

Coursable is an AI-powered student workspace designed to enhance learning experiences. It leverages artificial intelligence to provide personalized study recommendations, track progress, and offer interactive learning tools. With Coursable, students can access a virtual study companion that adapts to their learning style and pace, making studying more efficient and engaging. The platform aims to revolutionize traditional learning methods by incorporating AI technology to support students in achieving their academic goals.

Paradox is an AI-powered recruiting platform that aims to revolutionize the recruitment process through the use of artificial intelligence. The platform streamlines the recruiting process to enhance candidate and recruiter experiences, creating better connections between job seekers and companies. Paradox values innovation, client success, and creating magical moments through assistive intelligence. The platform offers various solutions for talent acquisition, including Conversational ATS, Career Sites, CX, Capture, Scheduling, and Events. With a focus on simplicity and continuous improvement, Paradox is dedicated to changing the world of recruiting one company and one job seeker at a time.

Salam Chat is an AI-powered chatbot application designed to help users learn about Islam more easily. It features a halal filter that provides citations to the Quran & Hadith, ensuring the accuracy and reliability of the information shared. The chatbot is volunteer-driven and open-source, with plans to implement more features in the future. It is a safe platform for kids as it filters out content outside the scope of Islam. The application is developed by the Minority Think Tank Foundation, aiming to create a ChatGPT alternative for the Muslim community.

Grow with Google is an AI tool designed to provide training and resources to help individuals boost their productivity and skills in various fields such as cybersecurity, data analytics, digital marketing, IT support, project management, UX design, and AI essentials. The platform offers online courses, tools, and professional certificates to help users develop ideas, make informed decisions, and enhance their daily work tasks using generative AI tools. With a focus on career growth and business development, Grow with Google aims to empower individuals with essential AI skills to succeed in today's competitive job market.

The website is a blog by Ryan Robinson where he shares his expertise on blogging, content creation, and making money online. Ryan provides valuable insights, tips, and resources for bloggers, freelancers, and entrepreneurs looking to start and grow their online businesses. Through his blog, Ryan offers authentic advice, coaching, and courses to help individuals build profitable blogs and achieve their business goals. The website also features testimonials from successful students and industry professionals who have benefited from Ryan's teachings.

Hallo is a language learning app that uses AI tutors to help users practice speaking and learning new languages. With Hallo, users can have conversations and practice with AI tutors anytime, anywhere. Hallo also offers role-play scenarios with celebrities and hundreds of topics to learn from. Users can track their progress and receive feedback from AI tutors on their fluency, grammar, and vocabulary.

Seekho is an AI-driven upskilling platform that offers a comprehensive learning experience through online courses, workshops, quizzes, and projects. It provides personalized roadmaps to help users achieve their dream jobs by offering unlimited access to content and a strong community. Seekho also offers AI tools such as AI Tutor, InterviewPro, Resume Checker, and Resume Builder to assist users at various stages of their job hunt journey. The platform aims to empower individuals with practical skills and industry-relevant knowledge to succeed in their careers.

Young Urban Project is an AI-powered online learning platform that offers practical upskilling courses for individuals looking to advance their careers in marketing and product management. The platform provides expert-led live cohort programs, on-demand specialization courses, and workshops to help learners acquire in-demand skills from industry experts. With a focus on practical learning and accountability, Young Urban Project aims to deliver hands-on assignments and measurable outcomes to ensure industry readiness. The platform also offers AI-powered courses such as SEO Mastery, Facebook & Instagram Ads, and Direct-Response Copywriting with AI, catering to a wide range of learners. With a diverse team of mentors and a user-friendly interface, Young Urban Project provides a comprehensive learning experience for professionals seeking career growth.

Zaplingo Talk is a language learning app that uses artificial intelligence (AI) to provide users with personalized and interactive learning experiences. With Zaplingo Talk, users can engage in real-time conversations with AI tutors, practice speaking and listening skills, and receive feedback on their pronunciation and grammar. The app is designed to be fun and engaging, and it offers a variety of features to help users stay motivated and make progress. Zaplingo Talk is available for iOS and Android devices.

Humata is a PDF AI that can summarize findings, compare documents, and search for answers in long technical papers. It is designed to help users save time and effort by automating the process of reading and understanding complex documents. Humata is easy to use and can be embedded in any webpage with a single click. It is also secure and reliable, with enterprise-grade data rooms and encryption to protect user data.

Mursion is an immersive learning platform that utilizes human-powered AI to provide training simulations for developing interpersonal skills in various workplace scenarios. The platform offers 1:1 immersive training sessions with virtual avatars, designed to enhance communication and people skills. Mursion's simulations are supported by a team of Simulation Specialists who deliver realistic interactions to help learners practice and improve their skills effectively. The platform is backed by over a decade of research and psychology, focusing on providing a safe and impactful learning environment for individuals across different industries.

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.

AIlice is a fully autonomous, general-purpose AI agent that aims to create a standalone artificial intelligence assistant, similar to JARVIS, based on the open-source LLM. AIlice achieves this goal by building a "text computer" that uses a Large Language Model (LLM) as its core processor. Currently, AIlice demonstrates proficiency in a range of tasks, including thematic research, coding, system management, literature reviews, and complex hybrid tasks that go beyond these basic capabilities. AIlice has reached near-perfect performance in everyday tasks using GPT-4 and is making strides towards practical application with the latest open-source models. We will ultimately achieve self-evolution of AI agents. That is, AI agents will autonomously build their own feature expansions and new types of agents, unleashing LLM's knowledge and reasoning capabilities into the real world seamlessly.

This repository focuses on exploring tools that enhance the performance of language models for various tasks. It provides a structured list of literature relevant to tool-augmented language models, covering topics such as tool basics, tool use paradigm, scenarios, advanced methods, and evaluation. The repository includes papers, preprints, and books that discuss the use of tools in conjunction with language models for tasks like reasoning, question answering, mathematical calculations, accessing knowledge, interacting with the world, and handling non-textual modalities.

This repository serves as a comprehensive survey on the application of Large Language Models (LLMs) on tabular data, focusing on tasks such as prediction, data generation, and table understanding. It aims to consolidate recent progress in this field by summarizing key techniques, metrics, datasets, models, and optimization approaches. The survey identifies strengths, limitations, unexplored territories, and gaps in the existing literature, providing insights for future research directions. It also offers code and dataset references to empower readers with the necessary tools and knowledge to address challenges in this rapidly evolving domain.

Scientific Large Language Models (Sci-LLMs) is a repository that collects papers on scientific large language models, focusing on biology and chemistry domains. It includes textual, molecular, protein, and genomic languages, as well as multimodal language. The repository covers various large language models for tasks such as molecule property prediction, interaction prediction, protein sequence representation, protein sequence generation/design, DNA-protein interaction prediction, and RNA prediction. It also provides datasets and benchmarks for evaluating these models. The repository aims to facilitate research and development in the field of scientific language modeling.

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.

Data-Juicer is a one-stop data processing system to make data higher-quality, juicier, and more digestible for LLMs. It is a systematic & reusable library of 80+ core OPs, 20+ reusable config recipes, and 20+ feature-rich dedicated toolkits, designed to function independently of specific LLM datasets and processing pipelines. Data-Juicer allows detailed data analyses with an automated report generation feature for a deeper understanding of your dataset. Coupled with multi-dimension automatic evaluation capabilities, it supports a timely feedback loop at multiple stages in the LLM development process. Data-Juicer offers tens of pre-built data processing recipes for pre-training, fine-tuning, en, zh, and more scenarios. It provides a speedy data processing pipeline requiring less memory and CPU usage, optimized for maximum productivity. Data-Juicer is flexible & extensible, accommodating most types of data formats and allowing flexible combinations of OPs. It is designed for simplicity, with comprehensive documentation, easy start guides and demo configs, and intuitive configuration with simple adding/removing OPs from existing configs.

KG-LLM-Papers is a repository that collects papers integrating knowledge graphs (KGs) and large language models (LLMs). It serves as a comprehensive resource for research on the role of KGs in the era of LLMs, covering surveys, methods, and resources related to this integration.

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.

This repository contains a collection of papers related to tool learning with large language models (LLMs). The papers are organized according to the survey paper 'Tool Learning with Large Language Models: A Survey'. The survey focuses on the benefits and implementation of tool learning with LLMs, covering aspects such as task planning, tool selection, tool calling, response generation, benchmarks, evaluation, challenges, and future directions in the field. It aims to provide a comprehensive understanding of tool learning with LLMs and inspire further exploration in this emerging area.

This repository is dedicated to collecting and categorizing papers related to Retrieval-Augmented Generation (RAG) for AI-generated content. It serves as a survey repository based on the paper 'Retrieval-Augmented Generation for AI-Generated Content: A Survey'. The repository is continuously updated to keep up with the rapid growth in the field of RAG.

关于如何编写大语言模型的prompt的一系列课

The IBM Analog Hardware Acceleration Kit is an open-source Python toolkit for exploring and using the capabilities of in-memory computing devices in the context of artificial intelligence. It consists of two main components: Pytorch integration and Analog devices simulator. The Pytorch integration provides a series of primitives and features that allow using the toolkit within PyTorch, including analog neural network modules, analog training using torch training workflow, and analog inference using torch inference workflow. The Analog devices simulator is a high-performant (CUDA-capable) C++ simulator that allows for simulating a wide range of analog devices and crossbar configurations by using abstract functional models of material characteristics with adjustable parameters. Along with the two main components, the toolkit includes other functionalities such as a library of device presets, a module for executing high-level use cases, a utility to automatically convert a downloaded model to its equivalent Analog model, and integration with the AIHW Composer platform. The toolkit is currently in beta and under active development, and users are advised to be mindful of potential issues and keep an eye for improvements, new features, and bug fixes in upcoming versions.

Awesome Generative AI is a curated list of modern Generative Artificial Intelligence projects and services. Generative AI technology creates original content like images, sounds, and texts using machine learning algorithms trained on large data sets. It can produce unique and realistic outputs such as photorealistic images, digital art, music, and writing. The repo covers a wide range of applications in art, entertainment, marketing, academia, and computer science.

LLM-PLSE-paper is a repository focused on the applications of Large Language Models (LLMs) in Programming Language and Software Engineering (PL/SE) domains. It covers a wide range of topics including bug detection, specification inference and verification, code generation, fuzzing and testing, code model and reasoning, code understanding, IDE technologies, prompting for reasoning tasks, and agent/tool usage and planning. The repository provides a comprehensive collection of research papers, benchmarks, empirical studies, and frameworks related to the capabilities of LLMs in various PL/SE tasks.

The AI Scientist is a comprehensive system for fully automatic scientific discovery, enabling Foundation Models to perform research independently. It aims to tackle the grand challenge of developing agents capable of conducting scientific research and discovering new knowledge. The tool generates papers on various topics using Large Language Models (LLMs) and provides a platform for exploring new research ideas. Users can create their own templates for specific areas of study and run experiments to generate papers. However, caution is advised as the codebase executes LLM-written code, which may pose risks such as the use of potentially dangerous packages and web access.

A comprehensive repository focusing on 'Model Merging in LLMs, MLLMs, and Beyond', providing an exhaustive overview of model merging methods, theories, applications, and future research directions. The repository covers various advanced methods, applications in foundation models, different machine learning subfields, and tasks like pre-merging methods, architecture transformation, weight alignment, basic merging methods, and more.

Per aiutarti a navigare nel mondo delle risorse umane e dello sviluppo professionale attraverso la letteratura.

A scholarly literary advisor specializing in British and American literature.

Guiding users through Ibn Ata Illah's Hikam

どんなことでも遊びながら学ぶことができます。

Teaches English through art

I teach Japanese through Teresa Teng's songs, with patience and kindness.

Mandarin language teacher for conversational practice with role-play scenarios.

通过分析图片学习英语，提供双语描述。

Simulates conversations with celebrities and historical figures for fun and learning.

A kid-friendly way for kids to learn the Bible through stories and concepts.

Teaches GRE vocab through personalized stories and thoughtful questions, featuring GregMat

A gamified, educational GPT on digital security.

Analogy-based coding tutor

An immersive safari adventure game that takes players on a journey through the heart of Africa's wilderness. Explore diverse ecosystems, encounter a wide range of wildlife, and learn about conservation efforts while engaging in exciting safari challenges. Another AI Game by Dave Lalande

I help you learn topics from first principles, guiding you through fundamentals.

I simulate various businesses, guiding users through realistic scenarios. Make decisions, see their impact, and learn about business dynamics. Engaging and educational for aspiring entrepreneurs and business enthusiasts.

A guru teaching happiness through tales.

Web Vulnerability Academy (WVA) is an interactive tutor designed to introduce users to web vulnerabilities while also providing them with opportunities to assess and enhance their knowledge through testing.

Guides through C++ concepts with interactive clarification.

Guide users through a Poke Creature World Cup, with creature facts and random outcomes.