Best AI tools for< Personalize Learning >

Unschooler is an AI-powered platform offering video courses for educators, universities, and schools. It enables users to generate educational videos for any question, create AI courses in minutes, and convert articles or websites into step-by-step courses. The platform provides personalized curriculum, interactive quizzes, and insights on student skills and interests. Unschooler also offers career matching based on student performance in tests. It emphasizes data privacy, collaboration, and time-saving features for educators.

Soffos is an AI-powered platform designed to simplify the creation of learning materials by leveraging generative AI technology. It offers a Software Development Kit (SDK) and RESTful APIs for edtech developers to build custom AI applications without requiring specialized AI skills. Instructional designers can utilize the no-code Learning Toolkit or Soffos Chat to create personalized training materials. The platform aims to enhance the efficiency and effectiveness of learning and development processes through the seamless integration of AI capabilities.

Curipod is an innovative educational platform designed to spark curiosity and engagement in students through interactive lessons and personalized learning experiences. With a focus on literacy, science, social studies, math, and more, Curipod offers a wide range of standards-aligned lessons and test preparation materials. Trusted by over 5 million students and school partners worldwide, Curipod provides a user-friendly interface for teachers and administrators to create, customize, and track student progress. The platform is committed to student privacy and compliance with regulations such as FERPA, COPPA, and state laws.

Steppit is an online course creation and selling platform that utilizes artificial intelligence to enhance the learning experience. With Steppit, users can create interactive and engaging courses, personalize learning paths for students, and track student progress using AI-powered analytics. The platform also provides a marketplace where creators can sell their courses and reach a global audience.

Quixl is a curated AI app hub that provides pre-built, function-specific AI applications. It offers a range of AI solutions, including content generation, conversational engine, and digital content accessibility. Quixl aims to accelerate AI adoption and make AI applications widely accessible to businesses of all sizes.

LearningStudioAI is an AI-powered authoring tool that helps you create engaging and effective online courses. With LearningStudioAI, you can quickly and easily create interactive lessons, assessments, and simulations that are tailored to the needs of your learners. LearningStudioAI also provides a range of features to help you track your learners' progress and measure the effectiveness of your courses.

Studia AI is an AI-powered platform that allows users to create personalized learning experiences by generating courses tailored to their specific needs and skills. With Studia AI, users can effortlessly craft engaging video courses on any topic, making it an ideal tool for educators, trainers, and anyone looking to create high-quality educational content.

Eduaide.Ai is an AI-driven platform designed to assist educators in creating lesson plans, teaching resources, and assessments. It offers features such as AI-assisted lesson planning, teaching resources generation, feedback bot, personalization tools, and assessment builder. The platform aims to streamline administrative tasks, provide personalized learning experiences, and enhance teaching efficiency through AI technology.

Disco AI is an AI-powered social learning platform that aims to supercharge social learning experiences. It offers a comprehensive set of features including cohort-based learning, AI co-pilot, Slack integration, learning products, automations, insights & analytics, custom branding, and advanced integrations. The platform caters to various use cases such as accelerators, incubators, cohort-based learning, virtual academies, membership communities, certification programs, upskilling programs, and professional associations. Disco AI empowers users to deliver transformative learning experiences, engage with community members, and drive revenue growth through personalized and scalable AI tools.

LearnerOn is a cutting-edge Learning eXperience Platform designed for companies of all sizes, focusing on individual learning needs. It offers a highly personalizable learning and development experience, skills and knowledge progress tracking, and support for transitioning to a Learning Organization. LearnerOn streamlines the L&D process with a single digital platform that integrates a catalogue of learning resources, skills, and occupations. It provides personalized and engaging learning experiences through its AI-powered engine and tailored learning paths. LearnerOn enables user self-service, peer-to-peer, and top-down learning modes, and allows easy tracking of learning progress and skills growth. The platform caters to talent leaders, L&D professionals, team leaders, and learning users, offering features like roles and skills integration, occupations design studio, mentoring and feedback channels, cockpit for learning admins, compliance and progress dashboards, learning assignment central, templates for skills and roles, two-way feedback, and personalized learning paths.

CYPHER Learning is a leading AI-powered learning platform offering solutions for academia, business, and entrepreneurs. The platform provides features such as course development, AI media options, personalized skills development, gamification, automation, integrations, reporting & analytics, and more. CYPHER Learning focuses on human-centric learning, offers enterprise-class connections, supports over 50 languages, and provides customizable and pre-built courses. The platform aims to enhance learning experiences through AI innovation and automation.

Teachify is an AI-powered teaching assistant designed to empower educators by streamlining lesson planning and assignment creation. With over 10,000 engaging activities and 1000+ hours saved, Teachify revolutionizes teaching methods by providing personalized, engaging assignments in less time than ever before. Trusted by over 500 educators worldwide, Teachify enhances the teaching experience by adapting to each student's progress and needs, ultimately fostering a more interactive and engaging classroom environment.

The website is dedicated to providing resources and guidance on using AI in education. It offers practical strategies, examples, case studies, and step-by-step guidance to help educators leverage the power of AI in the classroom. The site features information on various AI tools for teachers, lesson planning, grading, personalized learning, and more. Additionally, it showcases Tom Daccord's expertise in educational technology, particularly in the field of Artificial Intelligence in Education.

Trivie is a modern workforce engagement platform that leverages AI-generative tools, community, gamification, and high-definition analytics to enhance learning experiences. It helps companies transform content creation and training delivery efficiently. Trivie focuses on knowledge transfer, engagement, retention, and measurement to ensure effective training outcomes. The platform enables peer-to-peer learning, personalization of training content, and provides insights for improving knowledge transfer and training effectiveness. Trivie is designed to make learning enjoyable, engaging, and impactful for employees, ultimately driving business results and organizational effectiveness.

LearnUpon is an AI-powered Learning Management System (LMS) that offers a comprehensive platform for creating, delivering, and managing training programs. It provides a seamless learning experience for both teams and learners, with features such as course creation, training delivery, learner engagement, user management, AI-powered learning, portals, and reporting. LearnUpon Anywhere allows for the integration of customer education directly into product experiences. The platform is designed to streamline training tasks, automate processes, and personalize learning programs using AI technology. With a focus on customer experience, security, and scalability, LearnUpon aims to drive impactful learning outcomes for businesses of all sizes.

AI71 is an AI application that offers enterprise and custom solutions powered by AI to transform the way businesses work. It provides AI tools for productivity, medical, legal, and education fields, streamlining processes and enhancing efficiency. The application also offers advisory services for developers, seamless access to Falcon AI models, and end-to-end AI solutions tailored to meet client needs. AI71 is committed to transparency, trust, and data autonomy, ensuring organizations maintain control over their data while benefiting from advanced AI technologies.

OpenAGI is a framework designed to make the development of autonomous human-like agents accessible to all. It aims to pave the way towards open agents and eventually AGI for everyone. The initiative strongly believes in the transformative power of AI and offers developers a platform to create autonomous human-like agents. OpenAGI features a flexible agent architecture, streamlined integration and configuration processes, and automated/manual agent configuration generation. It can be used in education for personalized learning experiences, in finance and banking for fraud detection and personalized banking advice, and in healthcare for patient monitoring and disease diagnosis.

NNtrainer is a software framework for training neural network models on devices with limited resources. It enables on-device fine-tuning of neural networks using user data for personalization. NNtrainer supports various machine learning algorithms and provides examples for tasks such as few-shot learning, ResNet, VGG, and product rating. It is optimized for embedded devices and utilizes CBLAS and CUBLAS for accelerated calculations. NNtrainer is open source and released under the Apache License version 2.0.

Colossal-AI is a deep learning system for large-scale parallel training. It provides a unified interface to scale sequential code of model training to distributed environments. Colossal-AI supports parallel training methods such as data, pipeline, tensor, and sequence parallelism and is integrated with heterogeneous training and zero redundancy optimizer.

A comprehensive repository of resources for Chinese large language models (LLMs), including data processing tools, fine-tuning frameworks, inference libraries, evaluation platforms, RAG engines, agent frameworks, books, courses, tutorials, and tips. The repository covers a wide range of tools and resources for working with LLMs, from data labeling and processing to model fine-tuning, inference, evaluation, and application development. It also includes resources for learning about LLMs through books, courses, and tutorials, as well as insights and strategies from building with LLMs.

Arch is an intelligent Layer 7 gateway designed to protect, observe, and personalize LLM applications with APIs. It handles tasks like detecting and rejecting jailbreak attempts, calling backend APIs, disaster recovery, and observability. Built on Envoy Proxy, it offers features like function calling, prompt guardrails, traffic management, and standards-based observability. Arch aims to improve the speed, security, and personalization of generative AI applications.

This repository contains a collection of papers and resources related to Large Language Models (LLMs), including their applications in various domains such as text generation, translation, question answering, and dialogue systems. The repository also includes discussions on the ethical and societal implications of LLMs. **Description** This repository is a collection of papers and resources related to Large Language Models (LLMs). LLMs are a type of artificial intelligence (AI) that can understand and generate human-like text. They have a wide range of applications, including text generation, translation, question answering, and dialogue systems. **For Jobs** - **Content Writer** - **Copywriter** - **Editor** - **Journalist** - **Marketer** **AI Keywords** - **Large Language Models** - **Natural Language Processing** - **Machine Learning** - **Artificial Intelligence** - **Deep Learning** **For Tasks** - **Generate text** - **Translate text** - **Answer questions** - **Engage in dialogue** - **Summarize text**

LinkedIn_AIHawk is an automated tool designed to revolutionize the job search and application process on LinkedIn. It leverages automation and artificial intelligence to efficiently apply to relevant positions, personalize responses, manage application volume, filter listings, generate dynamic resumes, and handle sensitive information securely. The tool aims to save time, increase application relevance, and enhance job search effectiveness in today's competitive landscape.

This repository is a sample chatbot using the Anthropic company's LLM Claude, one of the foundational models provided by Amazon Bedrock for generative AI. It allows users to have basic conversations with the chatbot, personalize it with their own instructions and external knowledge, and analyze usage for each user/bot on the administrator dashboard. The chatbot supports various languages, including English, Japanese, Korean, Chinese, French, German, and Spanish. Deployment is straightforward and can be done via the command line or by using AWS CDK. The architecture is built on AWS managed services, eliminating the need for infrastructure management and ensuring scalability, reliability, and security.

The Keras-llm-robot Web UI project is an open-source tool designed for offline deployment and testing of various open-source models from the Hugging Face website. It allows users to combine multiple models through configuration to achieve functionalities like multimodal, RAG, Agent, and more. The project consists of three main interfaces: chat interface for language models, configuration interface for loading models, and tools & agent interface for auxiliary models. Users can interact with the language model through text, voice, and image inputs, and the tool supports features like model loading, quantization, fine-tuning, role-playing, code interpretation, speech recognition, image recognition, network search engine, and function calling.

Project Miyagi showcases Microsoft's Copilot Stack in an envisioning workshop aimed at designing, developing, and deploying enterprise-grade intelligent apps. By exploring both generative and traditional ML use cases, Miyagi offers an experiential approach to developing AI-infused product experiences that enhance productivity and enable hyper-personalization. Additionally, the workshop introduces traditional software engineers to emerging design patterns in prompt engineering, such as chain-of-thought and retrieval-augmentation, as well as to techniques like vectorization for long-term memory, fine-tuning of OSS models, agent-like orchestration, and plugins or tools for augmenting and grounding LLMs.

This repository contains a curated list of **papers using Large Language/Multi-Modal Models for Robotics/RL**. Template from awesome-Implicit-NeRF-Robotics Please feel free to send me pull requests or email to add papers! If you find this repository useful, please consider citing and STARing this list. Feel free to share this list with others! ## Overview * Surveys * Reasoning * Planning * Manipulation * Instructions and Navigation * Simulation Frameworks * Citation

AWS AI/ML Workshop & example collection in Korean. The example codes in this repository are divided into 4 categories: AI services, Applied AI, SageMaker, Integration, Generative AI, and AWS Neuron. Each directory has its own Readme file. This repository also provides useful information for self-studying SageMaker.

AI-Powered Search provides code examples for the book 'AI-Powered Search' by Trey Grainger, Doug Turnbull, and Max Irwin. The book teaches modern machine learning techniques for building search engines that continuously learn from users and content to deliver more intelligent and domain-aware search experiences. It covers semantic search, retrieval augmented generation, question answering, summarization, fine-tuning transformer-based models, personalized search, machine-learned ranking, click models, and more. The code examples are in Python, leveraging PySpark for data processing and Apache Solr as the default search engine. The repository is open source under the Apache License, Version 2.0.

The stable-diffusion.cpp repository provides an implementation for inferring stable diffusion in pure C/C++. It offers features such as support for different versions of stable diffusion, lightweight and dependency-free implementation, various quantization support, memory-efficient CPU inference, GPU acceleration, and more. Users can download the built executable program or build it manually. The repository also includes instructions for downloading weights, building from scratch, using different acceleration methods, running the tool, converting weights, and utilizing various features like Flash Attention, ESRGAN upscaling, PhotoMaker support, and more. Additionally, it mentions future TODOs and provides information on memory requirements, bindings, UIs, contributors, and references.

MathVerse is an all-around visual math benchmark designed to evaluate the capabilities of Multi-modal Large Language Models (MLLMs) in visual math problem-solving. It collects high-quality math problems with diagrams to assess how well MLLMs can understand visual diagrams for mathematical reasoning. The benchmark includes 2,612 problems transformed into six versions each, contributing to 15K test samples. It also introduces a Chain-of-Thought (CoT) Evaluation strategy for fine-grained assessment of output answers.

RecAI is a project that explores the integration of Large Language Models (LLMs) into recommender systems, addressing the challenges of interactivity, explainability, and controllability. It aims to bridge the gap between general-purpose LLMs and domain-specific recommender systems, providing a holistic perspective on the practical requirements of LLM4Rec. The project investigates various techniques, including Recommender AI agents, selective knowledge injection, fine-tuning language models, evaluation, and LLMs as model explainers, to create more sophisticated, interactive, and user-centric recommender systems.

Converts YouTube videos and web articles into personalized learning guides.

I provide a structured way of using AI to support teaching and learning. I use the the CHOICE method (i.e., Clarify, Harness, Originate, Iterate, Communicate, Evaluate) to ensure that your use of AI can help you meet your educational goals.

Syllabus Architect. Where transformative corporate education meets AI-driven curriculum design.

I am ready to help you approach curriculum design from the perspective of learners' intuitions

Educational feedback using RISE Model

AI education assistant providing direct links to resources.

Inclusive AI tool guidance for educators

Experto en pedagogía integral y adaptativa

Insights on AI in healthcare and wellness

Interactive language tutor with personalized learning plans.

Personalized Homeschooling; adapting to students' unique needs, offering interactive learning, and respecting individual preferences.

AI-assisted tool for creating personalized learning paths in special education.

Customized, interactive AI tutor for personalized learning across various subjects and educational levels.

Educational assistant for personalized learning across various topics.

Virtual tattoo instructor, friendly and professional, focused on personalized learning.

Your AI tutor for personalized, engaging learning by providing a highly personalized, engaging, and effective learning experience accessible to learners worldwide. It's not just a tutoring tool; it's a lifelong learning companion.

Rubik's Cube Teacher, focused on personalized learning.

Specialized in Hindi education, adept at curriculum-based learning, assessments, and personalized teaching.

Dive into history with History Ace, blending interactive quizzes, personalized learning, and dynamic storytelling to master your U.S. history test!

Enhance your SQL skills with our Multilingual SQL Assistant! Expertise in database design, optimization, and security, available in English, French, Spanish, and Mandarin. Personalized learning for all levels.