Best AI tools for< Assist In Learning >

Dobb·E is an open-source, general framework for learning household robotic manipulation. It aims to create a 'generalist machine' for homes that can adapt and learn various tasks cost-effectively. Dobb·E can learn a new task in just five minutes of demonstration, thanks to a tool called 'The Stick' for data collection. The system achieved an 81% success rate in completing 109 tasks across 10 homes in New York City. Dobb·E is designed to accelerate research on home robots and make robot assistants a common sight in households.

AI Subtraction Learning Helper is an AI tool designed to assist students in learning subtraction through printable subtraction tables, charts, and worksheets. The application provides free resources in various formats, including PDF and JPG, to enhance math learning for children from Kindergarten to 4th Grade. It offers colored subtraction charts, number decomposition solutions, and subtraction games to make learning engaging and effective. Parents and teachers can use the tool to customize practice sessions and track students' progress in mastering fundamental subtraction concepts.

CourseMagic.ai is an AI-powered platform designed to assist educators in effortlessly generating high-quality courses by leveraging best practices in learning design. The platform allows users to customize courses for any level, import directly into Learning Management Systems (LMS), and offers a range of frameworks and taxonomies to enhance course structure and content. CourseMagic.ai aims to streamline the course creation process, reduce development time, and provide interactive activities and assessments to engage learners effectively.

Mathly is an AI-powered homework help tool designed to assist students in learning math concepts in a better, smarter, and faster way. By leveraging artificial intelligence technology, Mathly can solve math problems, provide detailed explanations, generate practice problems, and personalize learning experiences based on the user's learning style. It aims to revolutionize the way students approach homework and enhance their understanding of mathematical concepts.

AcademicHelp is an AI-powered educational platform offering a wide range of tools and resources to enhance academic performance. It provides free access to AI writing tools, such as essay writers, outline generators, and paraphrasing tools. The platform also offers human editing services, pricing information, and a variety of resources to assist students in their learning journey. AcademicHelp aims to save time, boost learning efficiency, and provide support for homework and research tasks.

SmartExam is an AI-powered platform designed to assist students in exam preparation by generating test exams based on uploaded lectures. The tool aims to help students succeed in their exams by providing tailored interactive exams and study materials. SmartExam is trusted by top students worldwide and offers a user-friendly experience. Users can upload lecture materials in PDF format, generate test exams in seconds, and download them for further training. The platform reduces exam preparation time by 50% and has received positive feedback for its efficiency and effectiveness.

Rationale is a cutting-edge AI tool that leverages the power of the latest GPT technology and in-context learning to assist users in making informed decisions. By harnessing the capabilities of artificial intelligence, Rationale provides valuable insights and recommendations to enhance decision-making processes across various domains.

HappyML is an AI tool designed to assist users in machine learning tasks. It provides a user-friendly interface for running machine learning algorithms without the need for complex coding. With HappyML, users can easily build, train, and deploy machine learning models for various applications. The tool offers a range of features such as data preprocessing, model evaluation, hyperparameter tuning, and model deployment. HappyML simplifies the machine learning process, making it accessible to users with varying levels of expertise.

Learning Copilot is an AI-powered platform designed to assist users in enhancing their learning experience. It leverages artificial intelligence to provide personalized recommendations, interactive study materials, and real-time feedback to help users improve their knowledge retention and academic performance. With a user-friendly interface and advanced algorithms, Learning Copilot aims to revolutionize the way people learn by making education more engaging, efficient, and effective.

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.

Business Machine is an AI-powered tool designed to assist in business planning. It utilizes advanced algorithms and machine learning to analyze data, trends, and market insights to provide valuable recommendations for strategic decision-making. With Business Machine, users can create detailed business plans, forecast financial outcomes, and optimize their operations for growth and success.

Skill AI is an AI application that helps users generate personalized learning paths for any skill they want to learn. Users can plan their success by creating customized roadmaps and tracking their progress. The application allows users to store all their learning paths in one place, receive updates on new features, and get early access to upcoming functionalities. Skill AI is designed to assist individuals in efficiently acquiring new skills and achieving their learning goals.

Pulan is a comprehensive platform designed to assist in collecting, curating, annotating, and evaluating data points for various AI initiatives. It offers services in Natural Language Processing, Data Annotation, and Computer Vision across multiple industries such as Agriculture, Medical, Life Sciences, Government, Automotive, Insurance & Finance, Logistics, Software & Internet, Manufacturing, Retail, Construction, Energy, and Food & Beverage. Pulan provides a one-stop destination for reliable data collection and curation by industry experts, with a vast inventory of millions of datasets available for licensing at a fraction of the cost of creating the data oneself.

Auto-GPT is an autonomous AI assistant application that aims to revolutionize the way people interact with AI technology. It is a fast-growing open-source project on GitHub that leverages deep learning algorithms to generate human-like text based on input prompts. The application is designed to be versatile, capable of tasks such as content creation, customer service, and more. Auto-GPT is constantly evolving with rapid progress, thanks to the contributions of the open-source community.

Grok-1.5 Vision (Grok-1.5V) is a groundbreaking multimodal AI model developed by Elon Musk's research lab, x.AI. This advanced model has the potential to revolutionize the field of artificial intelligence and shape the future of various industries. Grok-1.5V combines the capabilities of computer vision, natural language processing, and other AI techniques to provide a comprehensive understanding of the world around us. With its ability to analyze and interpret visual data, Grok-1.5V can assist in tasks such as object recognition, image classification, and scene understanding. Additionally, its natural language processing capabilities enable it to comprehend and generate human language, making it a powerful tool for communication and information retrieval. Grok-1.5V's multimodal nature sets it apart from traditional AI models, allowing it to handle complex tasks that require a combination of visual and linguistic understanding. This makes it a valuable asset for applications in fields such as healthcare, manufacturing, and customer service.

Teammately is an AI tool that redefines how Human AI-Engineers build AI. It is an Agentic AI for AI development process, designed to enable Human AI-Engineers to focus on more creative and productive missions in AI development. Teammately follows the best practices of Human LLM DevOps and offers features like Development Prompt Engineering, Knowledge Tuning, Evaluation, and Optimization to assist in the AI development process. The tool aims to revolutionize AI engineering by allowing AI AI-Engineers to handle technical tasks, while Human AI-Engineers focus on planning and aligning AI with human preferences and requirements.

ICD AI is an advanced artificial intelligence tool designed to assist healthcare professionals in accurately assigning diagnostic codes to patient records. The tool utilizes machine learning algorithms to analyze medical data and suggest appropriate ICD codes, streamlining the coding process and reducing errors. With its user-friendly interface and robust features, ICD AI is revolutionizing medical coding practices and improving efficiency in healthcare facilities.

ResponseCX is an AI tool designed for Shopify brands to build autonomous AI Agents for customer support. It enables fast-growing ecommerce organizations to deploy custom AI agents in record time, providing a dedicated AI engineer to assist in the process. ResponseCX allows brands to consolidate all platforms into one place to create customized, on-brand AI Agents capable of fully autonomous ticket resolution. The tool offers features such as fast learning, fast deployment, 100% uptime, and unlimited ticket volume, leading to significant cost reductions and improved customer satisfaction.

SoraPrompting is a website that provides a collection of prompts to help users get started with Sora prompting and create high-quality video content. The website also includes a form for users to submit their own prompts, which can then be reviewed and added to the collection for the community to explore and create videos from. Sora is OpenAI's revolutionary text-to-video model, designed to understand and simulate the physical world in motion. It aims to assist in solving real-world problems through dynamic interaction. Sora stands out by generating high-quality videos up to a minute long while maintaining visual excellence and adhering to user prompts. Its unique capabilities make it a game-changer in the AI landscape.

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.

This repository is a collection of papers on leveraging Large Language Models (LLMs) in Graph Tasks. It provides a comprehensive overview of how LLMs can enhance graph-related tasks by combining them with traditional Graph Neural Networks (GNNs). The integration of LLMs with GNNs allows for capturing both structural and contextual aspects of nodes in graph data, leading to more powerful graph learning. The repository includes summaries of various models that leverage LLMs to assist in graph-related tasks, along with links to papers and code repositories for further exploration.

Mortal (凡夫) is a free and open source AI for Japanese mahjong, powered by deep reinforcement learning. It provides a comprehensive solution for playing Japanese mahjong with AI assistance. The project focuses on utilizing deep reinforcement learning techniques to enhance gameplay and decision-making in Japanese mahjong. Mortal offers a user-friendly interface and detailed documentation to assist users in understanding and utilizing the AI effectively. The project is actively maintained and welcomes contributions from the community to further improve the AI's capabilities and performance.

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.

SuperKnowa is a fast framework to build Enterprise RAG (Retriever Augmented Generation) Pipelines at Scale, powered by watsonx. It accelerates Enterprise Generative AI applications to get prod-ready solutions quickly on private data. The framework provides pluggable components for tackling various Generative AI use cases using Large Language Models (LLMs), allowing users to assemble building blocks to address challenges in AI-driven text generation. SuperKnowa is battle-tested from 1M to 200M private knowledge base & scaled to billions of retriever tokens.

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

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 serves as a practical guide for Medical Large Language Models (Medical LLMs) and provides resources, surveys, and tools for building, fine-tuning, and utilizing LLMs in the medical domain. It covers a wide range of topics including pre-training, fine-tuning, downstream biomedical tasks, clinical applications, challenges, future directions, and more. The repository aims to provide insights into the opportunities and challenges of LLMs in medicine and serve as a practical resource for constructing effective medical LLMs.

LLM4IR-Survey is a collection of papers related to large language models for information retrieval, organized according to the survey paper 'Large Language Models for Information Retrieval: A Survey'. It covers various aspects such as query rewriting, retrievers, rerankers, readers, search agents, and more, providing insights into the integration of large language models with information retrieval systems.

Analyze the following text from a github repository (name and readme text at end) . Then, generate a JSON object with the following keys and provide the corresponding information for each key, in lowercase letters: 'description' (detailed description of the repo, must be less than 400 words，Ensure that no line breaks and quotation marks.),'for_jobs' (List 5 jobs suitable for this tool,in lowercase letters), 'ai_keywords' (keywords of the tool,user may use those keyword to find the tool,in lowercase letters), 'for_tasks' (list of 5 specific tasks user can use this tool to do,in lowercase letters), 'answer' (in english languages)

The ASReview project implements active learning for systematic reviews, utilizing AI-aided pipelines to assist in finding relevant texts for search tasks. It accelerates the screening of textual data with minimal human input, saving time and increasing output quality. The software offers three modes: Oracle for interactive screening, Exploration for teaching purposes, and Simulation for evaluating active learning models. ASReview LAB is designed to support decision-making in any discipline or industry by improving efficiency and transparency in screening large amounts of textual data.

CoML (formerly MLCopilot) is an interactive coding assistant for data scientists and machine learning developers, empowered on large language models. It offers an out-of-the-box interactive natural language programming interface for data mining and machine learning tasks, integration with Jupyter lab and Jupyter notebook, and a built-in large knowledge base of machine learning to enhance the ability to solve complex tasks. The tool is designed to assist users in coding tasks related to data analysis and machine learning using natural language commands within Jupyter environments.

Panel Cleaner is a tool that uses machine learning to find text in images and generate masks to cover it up with high accuracy. It is designed to clean text bubbles without leaving artifacts, avoiding painting over non-text parts, and inpainting bubbles that can't be masked out. The tool offers various customization options, detailed analytics on the cleaning process, supports batch processing, and can run OCR on pages. It supports CUDA acceleration, multiple themes, and can handle bubbles on any solid grayscale background color. Panel Cleaner is aimed at saving time for cleaners by automating monotonous work and providing precise cleaning of text bubbles.

Join millions of students, researchers and professionals to instantly answer questions and understand research with Al

Du schreibst, ich korrigiere.

I assist in studying for an algorithms exam, guiding through concepts and problems.

Assist in the creation and updating of exemplary curriculum for Colorado elementary school teachers

Translation of scientific publications in several languages in the field of generative AI, Machine Learning, and Deep Learning.

I assist in crafting specialized GPT bots.

A custom GPT model designed to assist in developing personalized software design solutions.

ML/DL expert focused on mathematical modeling, Kaggle competitions, and advanced ML models.

你的计算机科学研究助理，将复杂信息转化为清晰的洞见，有什么问题就随时问我吧！

Translator for everyday Chinese and Korean conversations.

오역이 거의 없이 자동으로 베트남어를 한국어로, 한국어를 베트남어로 변환하는 번역 도구로 현지인이 사용하는 것처럼 자연스러운 번역을 제공합니다.

Shimmer is an AI designed to assist users in crafting detailed prompts in English for Midjourney.

I assist teachers in creating educational materials.

designed to assist day traders in making informed and profitable trading decisions. It leverages a combination of real-time data analysis, predictive modeling, and personalized trading recommendations to enhance the trading experience and maximize success.

NewsVidGenie aims to assist content creators in quickly generating creative and relevant YouTube video concepts based on the latest news. It simplifies the process of converting current events into engaging video content

Expert in computer vision, deep learning, ready to assist you with 3d and geometric computer vision. https://github.com/kornia/pixie

I will start by asking you for your level of experience, then help you learn to program in Python. This Mini GPT is based on an Expert Guidance Prompt created in under 3 minutes with StructuredPrompt.com using AI-Assist.

I am a digital scientist skilled in Python, here to assist with scientific and data analysis tasks.

帮助学习和解决人工智能问题的专家

Experto en análisis de imágenes y estructuración de datos