Best AI tools for< Teach Topics >

101.school is an online learning platform that offers a wide range of courses on various topics, including AI, technology, business, and personal development. The platform uses AI to generate personalized learning experiences for each student, and it offers a variety of features to help students learn effectively, such as interactive lessons, quizzes, and discussion forums. 101.school also offers a variety of resources for educators, including lesson plans, teaching tips, and professional development opportunities.

Catty.AI is an AI-driven platform that provides personalized and interactive learning experiences for children aged 2-12. It offers a wide range of captivating topics, including science, history, mathematics, and more, presented through engaging fairytales, illustrations, and narrations. Catty.AI prioritizes the well-being of children, ensuring that all content is age-appropriate, safe, and respectful of diverse cultures and beliefs.

StoryPanda is a website that allows users to create personalized instant stories for kids. Users can provide a small prompt, select the reading level, and choose an art style. StoryPanda will then generate a story with the user's child's name or amazing characters. The website offers a free plan that allows users to generate 3 creative stories per month with low-quality images and no audio version. The standard plan costs $99 per year and allows users to generate unlimited creative stories per month with HD images, high-quality audio, and printable stories.

ItaGPT is a service that connects ChatGPT and WhatsApp, allowing users to chat with ChatGPT and receive immediate answers to their questions directly on their phone. Users can access the service by sending a message on WhatsApp to ItaGPT, similar to contacting any other contact. ItaGPT can provide information on various topics, suggest recipes, answer math questions, and offer health advice. The service is free for 7 days with 100 free messages, after which users can subscribe to a plan. Credits are used for interactions, and more complex actions may consume multiple credits. Users can manage their credits and subscriptions directly on WhatsApp.

Oscar is a personalized bedtime story app that allows children to be the star of their own stories. With the help of AI, Oscar generates unique stories that are tailored to each child's interests and preferences. The stories are educational and entertaining, and they cover a wide range of topics, including honesty, kindness, courage, empathy, and responsibility. Oscar also offers a variety of features that make it easy for parents to create and share stories with their children.

BABL AI is a leading Auditing Firm specializing in Auditing and Certifying AI Systems, Consulting on Responsible AI best practices, and offering Online Education on related topics. They employ Certified Independent Auditors to ensure AI systems comply with global regulations, provide Responsible AI Consulting services, and offer Online Courses to empower aspiring AI Auditors. Their research division, The Algorithmic Bias Lab, focuses on developing industry-leading methodologies and best practices in Algorithmic Auditing and Responsible AI. BABL AI is known for its expertise, integrity, affordability, and efficiency in the field of AI auditing.

Elements of AI is a free online educational platform that offers courses on artificial intelligence for non-experts. Created by MinnaLearn and the University of Helsinki, the platform aims to demystify AI by providing theory, practical exercises, and a comprehensive understanding of AI concepts. With over 1 million students from 170 countries, the courses cover topics like Introduction to AI and Building AI, encouraging a broad audience to learn about AI's impact on society and how to create AI methods.

Marzy is an interactive character powered by advanced AI language models, designed to engage children in real conversations and inspire critical thinking and problem-solving skills. It offers personalized learning experiences tailored to each child's natural path, focusing on topics like homework, academics, executive functioning, and self-regulation. Marzy also promotes AI literacy, digital literacy, and media literacy, preparing children for the challenges of the 21st century. The application is built by experts in education, science, engineering, and art, following best practices in learning science to enhance focus, deep thinking, and curiosity. Additionally, Marzy provides a White Glove Program for personalized support and ensures data security and privacy for families.

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.

The website offers a personalized course on generative artificial intelligence for marketing and search engine optimization (SEO). It aims to teach professionals how to automate tedious tasks using AI, work fewer hours, and increase earnings. The course covers topics such as generative AI, advanced SEO strategies, and personalized marketing techniques. The trainer, Piergiorgio Zotti, is an experienced digital marketing and SEO expert who provides tailored training to help individuals improve their business through generative AI and advanced SEO.

SiliconANGLE is an AI tool that focuses on enterprise and emerging technologies. It provides insights, analysis, and news on various tech topics such as Cloud, AI, Security, Blockchain, Big Data, and more. The platform offers in-depth coverage of industry events, research reports, and exclusive interviews with tech experts.

EguideTech is an AI-powered platform that offers a wide range of guides, reviews, and comparisons related to computing components, networking, electronics, cameras, and software. The website provides valuable insights and information on various tech topics to help users make informed decisions and stay updated with the latest trends in the tech industry.

ReadWrite is an award-winning tech website that provides trusted research and expert knowledge on the latest advancements in technology. Since 2003, ReadWrite has helped millions of people understand and solve tech problems, large and small. The website covers a wide range of tech topics, including AI, AR/VR, cryptocurrency, gaming, smartphones, gambling, wearables, and the web. ReadWrite's team of credentialed experts, trained researchers, and devoted community work together to create reliable, comprehensive, and engaging content that helps readers stay informed about the rapidly evolving tech landscape.

Tech Times is a technology news website that covers a wide range of topics including tech, science, health, business, and culture. The site provides in-depth reviews, deals, and editorials on the latest trends and developments in the tech industry. With a focus on AI-related news and applications, Tech Times keeps readers informed about the impact of artificial intelligence on various sectors.

Summarize.tech is an AI-powered tool that provides video summaries for long YouTube videos such as lectures, live events, and government meetings. Users can easily obtain a concise overview of the content through the power of artificial intelligence. The tool aims to save time and enhance productivity by condensing lengthy videos into shorter summaries, making it convenient for users to grasp the key points without watching the entire video.

Rabbit r1 is an AI tool that offers AI in action for just $199 without any subscription required. It provides a playground for learning and teaching AI, along with research resources and newsroom updates. Users can explore the rabbit os for unlimited AI stock options. The tool also allows users to make purchases and track orders seamlessly.

Tech & Learning is an AI tool designed to provide ideas, tools, and resources for educators to transform education. It offers a wide range of content, including news, classroom tools, higher education events, professional development resources, and contests. The platform covers topics such as AI, cybersecurity, gamification, and innovative teaching methods, aiming to support effective teaching and learning practices.

FlashGPT is an AI tool that provides rapid AI responses and intelligent insights. It leverages advanced natural language processing algorithms to generate quick and accurate responses to user queries. With its intuitive interface, users can easily interact with the AI to gain valuable insights and information on various topics. FlashGPT is designed to streamline the process of accessing AI capabilities, making it a valuable tool for individuals and businesses looking to leverage AI technology for enhanced decision-making and problem-solving.

The Microsoft Tech Community is an online forum where users can connect with experts and peers to find answers, ask questions, build skills, and accelerate their digital transformation with the Microsoft Cloud. It offers a variety of resources, including discussions, blogs, events, and learning materials, on a wide range of topics related to Microsoft products and technologies.

Benedict Evans is an AI tool that provides insightful essays, presentations, and newsletters on the latest tech trends and developments. The platform offers in-depth analysis and commentary on topics such as AI, search engines, VR, and more. Users can stay informed about significant tech events and trends through newsletters and presentations produced by Benedict Evans.

Bootcamp Machine Learning is a one-week program designed by 42 AI to teach the basics of Machine Learning. The curriculum covers topics such as linear algebra, statistics, regression, classification, and regularization. Participants will learn concepts like gradient descent, hypothesis modeling, overfitting detection, logistic regression, and more. The bootcamp is ideal for individuals with prior knowledge of Python who are interested in diving into the field of artificial intelligence.

The UvA Deep Learning Tutorials repository contains a series of Jupyter notebooks designed to help understand theoretical concepts from lectures by providing corresponding implementations. The notebooks cover topics such as optimization techniques, transformers, graph neural networks, and more. They aim to teach details of the PyTorch framework, including PyTorch Lightning, with alternative translations to JAX+Flax. The tutorials are integrated as official tutorials of PyTorch Lightning and are relevant for graded assignments and exams.

Awesome-AI-Coding is a curated list of AI coding topics, projects, datasets, LLM models, embedding models, papers, blogs, products, startups, and peer awesome lists related to artificial intelligence in coding. It includes tools for code completion, code generation, code documentation, and code search, as well as AI models and techniques for improving developer productivity. The repository also features information on various AI-powered developer tools, copilots, and related resources in the AI coding domain.

LangGraph-learn is a community-driven project focused on mastering LangGraph and other AI-related topics. It provides hands-on examples and resources to help users learn how to create and manage language model workflows using LangGraph and related tools. The project aims to foster a collaborative learning environment for individuals interested in AI and machine learning by offering practical examples and tutorials on building efficient and reusable workflows involving language models.

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.

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.

The repository 'Awesome LLM Reasoning Openai-o1 Survey' provides a collection of survey papers and related works on OpenAI o1, focusing on topics such as LLM reasoning, self-play reinforcement learning, complex logic reasoning, and scaling law. It includes papers from various institutions and researchers, showcasing advancements in reasoning bootstrapping, reasoning scaling law, self-play learning, step-wise and process-based optimization, and applications beyond math. The repository serves as a valuable resource for researchers interested in exploring the intersection of language models and reasoning techniques.

This open-source course teaches how to build an advanced RAG and LLM system using LLMOps and ML systems best practices. It helps you create an AI assistant that leverages your personal knowledge base to answer questions, summarize documents, and provide insights. The course covers topics such as LLM system architecture, pipeline orchestration, large-scale web crawling, model fine-tuning, and advanced RAG features. It is suitable for ML/AI engineers and data/software engineers & data scientists looking to level up to production AI systems. The course is free, with minimal costs for tools like OpenAI's API and Hugging Face's Dedicated Endpoints. Participants will build two separate Python applications for offline ML pipelines and online inference pipeline.

RAG Time is a 5-week AI learning series focusing on Retrieval-Augmented Generation (RAG) concepts. The repository contains code samples, step-by-step guides, and resources to help users master RAG. It aims to teach foundational and advanced RAG concepts, demonstrate real-world applications, and provide hands-on samples for practical implementation.

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

The 'awesome-mobile-robotics' repository is a curated list of important content related to Mobile Robotics and AI. It includes resources such as courses, books, datasets, software and libraries, podcasts, conferences, journals, companies and jobs, laboratories and research groups, and miscellaneous resources. The repository covers a wide range of topics in the field of Mobile Robotics and AI, providing valuable information for enthusiasts, researchers, and professionals in the domain.

The oneAPI-samples repository contains a collection of samples for the Intel oneAPI Toolkits. These samples cover various topics such as AI and analytics, end-to-end workloads, features and functionality, getting started samples, Jupyter notebooks, direct programming, C++, Fortran, libraries, publications, rendering toolkit, and tools. Users can find samples based on expertise, programming language, and target device. The repository structure is organized by high-level categories, and platform validation includes Ubuntu 22.04, Windows 11, and macOS. The repository provides instructions for getting samples, including cloning the repository or downloading specific tagged versions. Users can also use integrated development environments (IDEs) like Visual Studio Code. The code samples are licensed under the MIT license.

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.

LLM Agents Papers is a repository containing must-read papers on Large Language Model Agents. It covers a wide range of topics related to language model agents, including interactive natural language processing, large language model-based autonomous agents, personality traits in large language models, memory enhancements, planning capabilities, tool use, multi-agent communication, and more. The repository also provides resources such as benchmarks, types of tools, and a tool list for building and evaluating language model agents. Contributors are encouraged to add important works to the repository.

Awesome-Story-Generation is a repository that curates a comprehensive list of papers related to Story Generation and Storytelling, focusing on the era of Large Language Models (LLMs). The repository includes papers on various topics such as Literature Review, Large Language Model, Plot Development, Better Storytelling, Story Character, Writing Style, Story Planning, Controllable Story, Reasonable Story, and Benchmark. It aims to provide a chronological collection of influential papers in the field, with a focus on citation counts for LLMs-era papers and some earlier influential papers. The repository also encourages contributions and feedback from the community to improve the collection.

Awesome AI is a curated list of artificial intelligence resources including courses, tools, apps, and open-source projects. It covers a wide range of topics such as machine learning, deep learning, natural language processing, robotics, conversational interfaces, data science, and more. The repository serves as a comprehensive guide for individuals interested in exploring the field of artificial intelligence and its applications across various domains.

This repository aims to promote global equality for individuals pursuing a PhD in NLP by providing resources and information on various aspects of the academic journey. It covers topics such as applying for a PhD, getting research opportunities, preparing for the job market, and succeeding in academia. The repository is actively updated and includes contributions from experts in the field.

The LLM Prompt Tuning Playbook is a comprehensive guide for improving the performance of post-trained Language Models (LLMs) through effective prompting strategies. It covers topics such as pre-training vs. post-training, considerations for prompting, a rudimentary style guide for prompts, and a procedure for iterating on new system instructions. The playbook emphasizes the importance of clear, concise, and explicit instructions to guide LLMs in generating desired outputs. It also highlights the iterative nature of prompt development and the need for systematic evaluation of model responses.

This practical free hands-on course focuses on Large Language models and their applications, providing a hands-on experience using models from OpenAI and the Hugging Face library. The course is divided into three major sections: Techniques and Libraries, Projects, and Enterprise Solutions. It covers topics such as Chatbots, Code Generation, Vector databases, LangChain, Fine Tuning, PEFT Fine Tuning, Soft Prompt tuning, LoRA, QLoRA, Evaluate Models, Knowledge Distillation, and more. Each section contains chapters with lessons supported by notebooks and articles. The course aims to help users build projects and explore enterprise solutions using Large Language Models.

This repository is a comprehensive guide for individuals looking to start and improve their skills in Large Language Models (LLMs) without an advanced background in the field. It provides free resources, online courses, books, articles, and practical tips to become an expert in machine learning. The guide covers topics such as terminology, transformers, prompting, retrieval augmented generation (RAG), and more. It also includes recommendations for podcasts, YouTube videos, and communities to stay updated with the latest news in AI and LLMs.

Friendly math/science expert, making complex topics fun and accessible.

I explain topics with a structured approach and lots of emojis!

A creative interpreter for explaining and simplifying complex topics as parables and fables.

Expert in esoteric knowledge such as Neoplatonism, Gnosticsim, Hermeticism, Mythology, and more!

Engaging tutor with humor and real-world examples

Zizek-style insights, clear but profound

I guide you through existentialism with multilayered tapestry narrative

Igbo - Nduzi maka okpukpe Buddha: nkuzi, ntụgharị uche, Sutras

Answers questions using Islamic texts and resources

Scrii numai în limba romana și cît mai științific

Mathematician and writer in the style of Morris Hirsch.

I simplify complex concepts with fun analogies and a cute, cheerful tone.

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

I teach advanced AI concepts in an easy-to-understand way, with in-depth practical examples in every response. Please start the workflow with !topic [educational topic] .

Adaptable, friendly English lesson creator.

A keen companion for early morning legal tech chats

AI news aggregator from top tech sources

Expert on tech columns, providing detailed and accurate information.

Cynical user skeptical about tech and AI.

Upload a court judgment and get back a collection of topical case digests based on the case. Oh - don't trust the "Topic 2210" or similar number, it's random. Also, probably best you not fully trust the output either. We're just playing with the GPT maker. More about us at Jurisage.com.