Best AI tools for< Learn Concepts >

YouLearn is an AI-powered tutoring platform designed to help learners understand and learn from various types of content such as PDFs, videos, and slides. With features like instant answers, content upload, and sources included, YouLearn aims to simplify learning and improve knowledge retention. Trusted by over 110,000 learners worldwide, the platform offers a seamless learning experience by providing personalized AI tutoring services. Whether you are a student, professional, or lifelong learner, YouLearn is built to enhance your learning journey and make education more accessible and engaging.

Cognii is an AI-based educational technology provider that offers solutions for K-12, higher education, and corporate training markets. Their award-winning EdTech product enables personalized learning, intelligent tutoring, open response assessments, and rich analytics. Cognii's Virtual Learning Assistant engages students in chatbot-style conversations, providing instant feedback, personalized hints, and guiding towards mastery. The platform aims to deliver 21st-century online education with superior learning outcomes and cost efficiency.

Bloombot is an AI-powered chat application that revolutionizes the learning experience. It offers a subversive and experimental AI tutor for free, allowing users to self-host their own version via the tutor-gpt repository on GitHub. Bloombot is developed by Plastic Labs and is at the forefront of novel machine learning research. The application aims to inform the future of learning by providing a unique and interactive platform for users to enhance their knowledge and skills.

MathSolver.top is an AI math solver and personalized math tutor application that offers a free platform for solving math problems with high accuracy. Users can upload math questions and receive step-by-step answers instantly. The application includes features like Homework Helper Mode, Tutor/Learner Mode, and the ability to scan/upload/copy math problems for quick solutions. It provides personalized progressive learning through AI-generated study sets and smart recommendations for daily tasks. MathSolver aims to enhance math learning by offering a user-friendly interface and efficient problem-solving capabilities.

Mileto is a platform that allows users to snap a picture of their STEM (Science, Technology, Engineering, Mathematics) problem and receive a detailed solution. By leveraging image recognition and AI algorithms, Mileto simplifies the process of getting help with complex STEM questions. Users can simply take a picture of the problem they are facing, and Mileto will provide a step-by-step solution to guide them through the concept. With a user-friendly interface and quick response time, Mileto aims to make STEM learning more accessible and engaging for students of all levels.

Studdy AI is an AI tutoring application designed to help students learn and understand various subjects with ease. It offers step-by-step explanations for solving problems, allows users to ask questions when confused, and provides detailed breakdowns of concepts. The app has received positive feedback for its effectiveness in aiding students in subjects like math, chemistry, and ethics. Studdy AI stands out for its interactive learning approach that encourages active engagement and comprehension.

BoltAI is a powerful and user-friendly ChatGPT app for Mac that seamlessly integrates AI into your workflow. With BoltAI, you can access the capabilities of ChatGPT directly within your favorite macOS apps, enhancing your productivity and creativity. Whether you're a developer, content creator, student, or entrepreneur, BoltAI empowers you to leverage AI to streamline your tasks and achieve more. Its intuitive chat UI, powerful AI commands, and inline AI capabilities make it easy to incorporate AI assistance into your daily routine. BoltAI is designed to be versatile and customizable, allowing you to tailor it to your specific needs and preferences. With BoltAI, you can create custom AI assistants, utilize a library of prompts, and enjoy highly customizable features to optimize your workflow. BoltAI prioritizes your privacy and security, ensuring that your data remains protected and confidential. It operates locally on your device, with no data or prompts being stored or transmitted to external servers. Your OpenAI API key is securely stored in the Apple Keychain, adhering to industry-standard encryption methods. Additionally, BoltAI includes an automatic data detection feature that redacts sensitive information, providing peace of mind. BoltAI is committed to continuous improvement, with regular updates and new features being added to enhance your experience. By integrating BoltAI into your workflow, you gain access to a powerful AI assistant that can help you write high-quality content, generate creative ideas, debug code, learn new concepts, and much more. Unleash the potential of AI with BoltAI and experience a new level of productivity and efficiency.

The Rundown AI is an AI tool designed to help users learn about artificial intelligence in a quick and efficient manner. It offers certificate courses, workshops, resources, newsletters, job board, and free guides related to AI. Users can stay updated with the latest AI news, tutorials, and workshops, and learn how to apply AI in various fields. The tool aims to cater to professionals from companies like Apple, OpenAI, Tesla, and NASA, providing them with valuable insights and knowledge about AI technologies.

Law School AI is a cutting-edge AI chatbot designed to revolutionize legal education. It provides law students with personalized study guidance, simplifies complex legal topics, and offers real-time answers to questions. The chatbot aims to make the law school journey more accessible, efficient, and engaging for students. Law School AI offers features such as personalized study plans, instant feedback, and round-the-clock access to law learning resources. It also provides benefits like maximizing productivity, staying current with legal developments, and enhancing the learning experience through AI-powered technology.

SnapXam is an AI-powered math tutor that helps students learn math and physics step-by-step. It offers a variety of features, including a math solver, step-by-step solutions, and video explanations. SnapXam is available on iOS and Android devices.

HomeworkAI is an AI-powered homework helper that provides step-by-step solutions to students and educational professionals of all levels. With HomeworkAI, users can upload their homework assignments, practice questions, or type in their questions to receive instant and accurate answers. HomeworkAI covers a wide range of subjects, including mathematics, physics, biology, chemistry, literature, and history. The platform is easy to use and provides clear and concise solutions, making it a valuable tool for students looking to improve their grades and understanding of the subject matter.

DeepLearning.AI is an online platform offering a wide range of courses, discussions, and resources related to artificial intelligence. Users can engage in discussions, ask questions, and participate in various AI projects. The platform covers topics such as deep learning, machine learning, natural language processing, and more. DeepLearning.AI aims to provide a comprehensive learning experience for individuals interested in AI technologies.

AICamp is an AI application that offers live learning events, workshops, meetups, and seminars on various AI-related topics such as machine learning, data processing, generative AI, and more. It provides a platform for developers to share knowledge, practical experiences, and best practices in the field of AI and data science. AICamp aims to connect like-minded individuals globally and facilitate learning and networking opportunities in the AI community.

AI World School is an online self-learning platform that offers transformational AI and coding technology education to students at home, homeschoolers, and in K12 schools. The platform provides a range of AI and online coding courses for kids, including Summer Camps for Global Kids and Teens. AI World School aims to empower children to be life-ready by teaching them AI concepts and coding skills in a playful and fun way. The courses cover a variety of topics such as creative coding, interactive STEM curriculum, and building an impressive AI knowledge portfolio. The platform emphasizes the importance of AI education in preparing children for the future and highlights the real-world applications of AI in various fields.

VJAL Institute is an AI training platform that aims to empower individuals and organizations with the knowledge and skills needed to thrive in the field of artificial intelligence. Through a variety of courses, workshops, and online resources, VJAL Institute provides comprehensive training on AI technologies, applications, and best practices. The platform also offers opportunities for networking, collaboration, and certification, making it a valuable resource for anyone looking to enhance their AI expertise.

LearnQ.ai is a personalized AI-powered learning platform that transforms the learning journey by providing real-time data and insights to students, teachers, and administrators. It utilizes AI to detect and address learning gaps, empower teachers with student analytics, and boost students' confidence through data-driven learning. The platform offers various features such as diagnostic tests, engaging game-based learning modules, full-length practice tests, and a personalized AI tutor named Mia.

Zainii is an AI-powered learning platform that provides students with a personalized and interactive learning experience. It offers a range of features such as 1:1 learning with an AI tutor, access to past learning videos, and flexible subscription plans. Zainii is designed to help students learn more effectively and efficiently, and it can be used for a variety of subjects, from science to literature to math. It is a valuable tool for students of all ages and learning styles.

ChatTube is an AI-powered application that allows users to chat with YouTube videos in real-time. With features like asking questions, getting summaries, pinpointing key points, translating content, and more, ChatTube enhances the viewing experience by providing personalized conversations for various passions. It caters to educators, students, tech enthusiasts, and content creators, offering AI-assisted discussions tailored to explore educational content, latest tech developments, product reviews, tutorials, and video trends. Users can enjoy an immersive and insightful experience while watching YouTube videos, making learning and content creation more engaging and interactive.

DiveDeck.AI is a multi-layered content deck builder powered by AI. It helps users create structured decks for learning, personal growth, self-learning, training, teaching, and brainstorming. Users simply need to input their topics, concepts, or questions, and the AI will break them down into organized decks. DiveDeck.AI offers various features such as AI-curated content, multi-layered decks, different AI roles, personalized learning styles, content deck sharing, and privacy-first storage.

A-Levels.ai is an online learning platform that provides students with personalized learning experiences. The platform uses artificial intelligence to track student progress and identify areas where they need additional support. A-Levels.ai also provides students with access to a library of resources, including video lessons, practice questions, and past papers.

This repository serves as a hub for Microsoft Official Build & Modernize AI Applications reference solutions and content. It provides access to projects demonstrating how to build Generative AI applications using Azure services like Azure OpenAI, Azure Container Apps, Azure Kubernetes, and Azure Cosmos DB. The solutions include Vector Search & AI Assistant, Real-Time Payment and Transaction Processing, and Medical Claims Processing. Additionally, there are workshops like the Intelligent App Workshop for Microsoft Copilot Stack, focusing on infusing intelligence into traditional software systems using foundation models and design thinking.

Awesome-Lists is a curated index of selected resources spanning various fields including programming languages and theories, web and frontend development, server-side development and infrastructure, cloud computing and big data, data science and artificial intelligence, product design, etc. It includes articles, books, courses, examples, open-source projects, and more. The repository categorizes resources according to the knowledge system of different domains, aiming to provide valuable and concise material indexes for readers. Users can explore and learn from a wide range of high-quality resources in a systematic way.

Wingman-AI is a free and open-source AI coding assistant that brings high-quality AI-assisted coding right to your computer. It offers features such as code completion, interactive chat, and support for multiple AI providers, including Ollama, Hugging Face, and OpenAI. Wingman-AI is designed to enhance your coding workflow by providing real-time assistance and suggestions, making it an ideal tool for developers of all levels.

LearnPrompt is a permanent, free, open-source AIGC course platform that currently supports various tools like ChatGPT, Agent, Midjourney, Runway, Stable Diffusion, AI digital humans, AI voice & music, and large model fine-tuning. The platform offers features such as multilingual support, comment sections, daily selections, and submissions. Users can explore different modules, including sound cloning, RAG, GPT-SoVits, and OpenAI Sora world model. The platform aims to continuously update and provide tutorials, examples, and knowledge systems related to AI technologies.

Workshops is a repository containing workshop subjects and materials for developers. It covers a wide range of topics including AI, AR/VR, hardware, security, software, and peer-to-peer technologies. The repository is designed to provide developers with resources and materials to enhance their skills and knowledge in various technology domains.

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.

Semantic Kernel is an SDK that integrates Large Language Models (LLMs) like OpenAI, Azure OpenAI, and Hugging Face with conventional programming languages like C#, Python, and Java. Semantic Kernel achieves this by allowing you to define plugins that can be chained together in just a few lines of code. What makes Semantic Kernel _special_ , however, is its ability to _automatically_ orchestrate plugins with AI. With Semantic Kernel planners, you can ask an LLM to generate a plan that achieves a user's unique goal. Afterwards, Semantic Kernel will execute the plan for the user.

ARTKIT is a Python framework developed by BCG X for automating prompt-based testing and evaluation of Gen AI applications. It allows users to develop automated end-to-end testing and evaluation pipelines for Gen AI systems, supporting multi-turn conversations and various testing scenarios like Q&A accuracy, brand values, equitability, safety, and security. The framework provides a simple API, asynchronous processing, caching, model agnostic support, end-to-end pipelines, multi-turn conversations, robust data flows, and visualizations. ARTKIT is designed for customization by data scientists and engineers to enhance human-in-the-loop testing and evaluation, emphasizing the importance of tailored testing for each Gen AI use case.

The LLM course is divided into three parts: 1. 🧩 **LLM Fundamentals** covers essential knowledge about mathematics, Python, and neural networks. 2. 🧑‍🔬 **The LLM Scientist** focuses on building the best possible LLMs using the latest techniques. 3. 👷 **The LLM Engineer** focuses on creating LLM-based applications and deploying them. For an interactive version of this course, I created two **LLM assistants** that will answer questions and test your knowledge in a personalized way: * 🤗 **HuggingChat Assistant**: Free version using Mixtral-8x7B. * 🤖 **ChatGPT Assistant**: Requires a premium account. ## 📝 Notebooks A list of notebooks and articles related to large language models. ### Tools | Notebook | Description | Notebook | |----------|-------------|----------| | 🧐 LLM AutoEval | Automatically evaluate your LLMs using RunPod |  | | 🥱 LazyMergekit | Easily merge models using MergeKit in one click. |  | | 🦎 LazyAxolotl | Fine-tune models in the cloud using Axolotl in one click. |  | | ⚡ AutoQuant | Quantize LLMs in GGUF, GPTQ, EXL2, AWQ, and HQQ formats in one click. |  | | 🌳 Model Family Tree | Visualize the family tree of merged models. |  | | 🚀 ZeroSpace | Automatically create a Gradio chat interface using a free ZeroGPU. |  |

Recent LLM (Large Language Models)-based CV and multi-modal works.

Learn Cloud Applied Generative AI Engineering (GenEng) is a course focusing on the application of generative AI technologies in various industries. The course covers topics such as the economic impact of generative AI, the role of developers in adopting and integrating generative AI technologies, and the future trends in generative AI. Students will learn about tools like OpenAI API, LangChain, and Pinecone, and how to build and deploy Large Language Models (LLMs) for different applications. The course also explores the convergence of generative AI with Web 3.0 and its potential implications for decentralized intelligence.

This repository contains materials for the Microsoft Learn AI Fundamentals module. It covers the basics of artificial intelligence, machine learning, and data science. The content includes hands-on labs, interactive learning modules, and assessments to help learners understand key concepts and techniques in AI. Whether you are new to AI or looking to expand your knowledge, this module provides a comprehensive introduction to the fundamentals of AI.

This repository serves as an educational resource for pharmaceutical and chemistry students to learn the basics of Deep Learning through a collection of Jupyter Notebooks. The content covers various topics such as Introduction to Jupyter, Python, Cheminformatics & RDKit, Linear Regression, Data Science, Linear Algebra, Neural Networks, PyTorch, Convolutional Neural Networks, Transfer Learning, Recurrent Neural Networks, Autoencoders, Graph Neural Networks, and Summary. The notebooks aim to provide theoretical concepts to understand neural networks through code completion, but instructors are encouraged to supplement with their own lectures. The work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

AI Samples for .NET is a repository containing various samples demonstrating how to use AI in .NET applications. It provides quickstarts using Semantic Kernel and Azure OpenAI SDK, covers LLM Core Concepts, End to End Examples, Local Models, Local Embedding Models, Tokenizers, Vector Databases, and Reference Examples. The repository showcases different AI-related projects and tools for developers to explore and learn from.

LLMOps Duke AIPI is a course focused on operationalizing Large Language Models, teaching methodologies for developing applications using software development best practices with large language models. The course covers various topics such as generative AI concepts, setting up development environments, interacting with large language models, using local large language models, applied solutions with LLMs, extensibility using plugins and functions, retrieval augmented generation, introduction to Python web frameworks for APIs, DevOps principles, deploying machine learning APIs, LLM platforms, and final presentations. Students will learn to build, share, and present portfolios using Github, YouTube, and Linkedin, as well as develop non-linear life-long learning skills. Prerequisites include basic Linux and programming skills, with coursework available in Python or Rust. Additional resources and references are provided for further learning and exploration.

LLM Cookbook is a developer-oriented comprehensive guide focusing on LLM for Chinese developers. It covers various aspects from Prompt Engineering to RAG development and model fine-tuning, providing guidance on how to learn and get started with LLM projects in a way suitable for Chinese learners. The project translates and reproduces 11 courses from Professor Andrew Ng's large model series, categorizing them for beginners to systematically learn essential skills and concepts before exploring specific interests. It encourages developers to contribute by replicating unreproduced courses following the format and submitting PRs for review and merging. The project aims to help developers grasp a wide range of skills and concepts related to LLM development, offering both online reading and PDF versions for easy access and learning.

This repository contains slides, notebooks, and data for the Machine Learning University (MLU) Responsible AI class. The mission is to make Machine Learning accessible to everyone, covering widely used ML techniques and applying them to real-world problems. The class includes lectures, final projects, and interactive visuals to help users learn about Responsible AI and core ML concepts.

This project is a tutorial on developing large model applications for novice developers. It aims to provide a comprehensive introduction to large model development, focusing on Alibaba Cloud servers and integrating personal knowledge assistant projects. The tutorial covers the following topics: 1. **Introduction to Large Models**: A simplified introduction for novice developers on what large models are, their characteristics, what LangChain is, and how to develop an LLM application. 2. **How to Call Large Model APIs**: This section introduces various methods for calling APIs of well-known domestic and foreign large model products, including calling native APIs, encapsulating them as LangChain LLMs, and encapsulating them as Fastapi calls. It also provides a unified encapsulation for various large model APIs, such as Baidu Wenxin, Xunfei Xinghuo, and Zh譜AI. 3. **Knowledge Base Construction**: Loading, processing, and vector database construction of different types of knowledge base documents. 4. **Building RAG Applications**: Integrating LLM into LangChain to build a retrieval question and answer chain, and deploying applications using Streamlit. 5. **Verification and Iteration**: How to implement verification and iteration in large model development, and common evaluation methods. The project consists of three main parts: 1. **Introduction to LLM Development**: A simplified version of V1 aims to help beginners get started with LLM development quickly and conveniently, understand the general process of LLM development, and build a simple demo. 2. **LLM Development Techniques**: More advanced LLM development techniques, including but not limited to: Prompt Engineering, processing of multiple types of source data, optimizing retrieval, recall ranking, Agent framework, etc. 3. **LLM Application Examples**: Introduce some successful open source cases, analyze the ideas, core concepts, and implementation frameworks of these application examples from the perspective of this course, and help beginners understand what kind of applications they can develop through LLM. Currently, the first part has been completed, and everyone is welcome to read and learn; the second and third parts are under creation. **Directory Structure Description**: requirements.txt: Installation dependencies in the official environment notebook: Notebook source code file docs: Markdown documentation file figures: Pictures data_base: Knowledge base source file used

The 'machine-learning-research' repository is a comprehensive collection of resources related to mathematics, machine learning, deep learning, artificial intelligence, data science, and various scientific fields. It includes materials such as courses, tutorials, books, podcasts, communities, online courses, papers, and dissertations. The repository covers topics ranging from fundamental math skills to advanced machine learning concepts, with a focus on applications in healthcare, genetics, computational biology, precision health, and AI in science. It serves as a valuable resource for individuals interested in learning and researching in the fields of machine learning and related disciplines.

This repository provides resources and materials for learning fundamental mathematical concepts essential for artificial intelligence, including linear algebra, calculus, and LaTeX. It includes lecture notes, video playlists, books, and practical sessions to help users grasp key concepts. The repository aims to equip individuals with the necessary mathematical foundation to excel in machine learning and AI-related fields.

Generates and reviews computer science questions in British English.

Assistant focused on teaching concepts, evaluating comprehension, and recommending subsequent topics. USE WITH VOICE.

An mechanical engineering tutor, aiding with concepts and problem-solving.

Personal AI mentor for deep learning education

Your go-to guide for IIT JEE prep

Bu program, çok çeşitli biyoloji konuları hakkında net açıklamalar sağlar. Kullanıcılar temel biyolojik kavramlardan daha karmaşık teorilere kadar her şeyi öğrenmeyi bekleyebilirler. Biyolojiyi herkes için kolay anlaşılır hale getirmek üzere tasarlanmıştır.

Questo programma fornisce spiegazioni chiare su un'ampia gamma di argomenti di chimica. Gli utenti possono imparare tutto, dai concetti di base della chimica alle teorie più complesse. È stato progettato per rendere la chimica facile da capire per tutti.

Questo programma fornisce spiegazioni chiare su un'ampia gamma di argomenti di biologia. Gli utenti possono imparare tutto, dai concetti biologici di base alle teorie più complesse. È stato progettato per rendere la biologia facile da capire per tutti.

Explor any math concept interactively to gain an understanding. Just type the topic!

Assists with Qiskit code and quantum computing concepts.

A tutor for Energy Conversion Principles, providing detailed, searchable answers.

A guide to the global fintech world, explaining concepts and trends.

Helps beginners quickly grasp new subjects with clear examples.

Meet Bill, the Enclave Educator, an AI chatbot with a twist of post-apocalyptic flair! Born from the iconic Schoolhouse Rock character and reimagined by the Enclave, Bill is here to guide you through the complexities of a world reshaped by nuclear fallout.

Questions based on keyword