Best AI tools for< Learn Artiq >

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.

Raplyrics is a website that uses artificial intelligence to generate rap music punchlines. Users can input a few words into a prompt, and the website will generate a unique rap punchline. Raplyrics also has a blog that features genuine stories about rap music culture and its impact on society. The website also has a learning section that provides information about the behind-the-scenes of RapLyrics, its ML engine, and API.

AICorr.com is a website offering free coding tutorials with a focus on artificial intelligence, data science, machine learning, and statistics. Users can learn and practice coding in Python and SQL, explore projects with real data, and access a wealth of information in an easy-to-understand format. The website aims to provide up-to-date and relevant information to a global audience, ensuring a seamless learning experience for all.

The Marketing Artificial Intelligence Institute is a platform dedicated to providing resources, insights, and training on the intersection of marketing and artificial intelligence. It offers a comprehensive guide to understanding how AI is transforming the marketing landscape, with a focus on practical applications and strategies for marketers to leverage AI technologies effectively. The platform covers a wide range of topics such as AI-powered analytics, personalized marketing, chatbots, and predictive modeling, aiming to empower marketing professionals with the knowledge and tools needed to stay ahead in the rapidly evolving digital marketing ecosystem.

Lycee AI is an AI-powered learning platform that provides interactive courses, hands-on exercises, and personalized feedback to help users master Artificial Intelligence and improve their productivity.

Roadmapped.ai is an AI-powered platform designed to help users learn various topics efficiently and quickly. By providing a structured roadmap generated in seconds, the platform eliminates the need to navigate through scattered online resources aimlessly. Users can input a topic they want to learn, and the AI will generate a personalized roadmap with curated resources. The platform also offers features like AI-powered YouTube search, saving roadmaps, priority support, and access to a private Discord community.

Samurai AI is an AI-powered read-it-later app that provides users with concise and insightful summaries of articles, YouTube videos, and TED talks. The app is designed to save users time and help them get the most out of their reading and viewing experiences. Samurai AI is still in development, but it is expected to be released soon on iOS and Android devices.

Artificial Intelligence in Plain English is an AI tool that provides insightful articles and resources on AI, machine learning, and data science in an easy-to-understand manner. The platform covers a wide range of topics related to AI applications, advancements, and their impact on various industries. Users can access in-depth tutorials, reviews, and news updates to stay informed about the latest developments in the field of artificial intelligence.

BISA AI Academy is an AI education platform offering online and offline courses with a variety of materials, professional instructors, and engaging learning paths. The platform provides over 100 free courses with certificates upon completion of quizzes and assignments. Additionally, there are premium master classes available, job training programs, and corporate training options. BISA AI Academy covers fields such as Data Science, IoT, Blockchain, and Programming, offering offline classes, special programs like Prakerja, webinars, and certification programs. The platform also provides solutions for IT services, AI intelligence, system development, and educational consulting.

Saya is an AI-powered study assistant that helps users learn and work faster. It can summarize PDF documents, YouTube videos, audio files, and Word documents, and it can also be used to search for information on the web. Saya is designed to be user-friendly and easy to use, and it can be accessed from any device with an internet connection.

Article2audio is a text-to-speech application that focuses on web content. It uses AI to understand and enhance English articles and blog posts before converting them to audio, making listening easier and more natural. Some of its key features include descriptive imagery, table summaries, complex text interpretation, and meaningful voice-overs.

Becoming Human is an Artificial Intelligence Magazine that explores the realm of artificial intelligence and its impact on humanity. The platform offers a wide range of content, including consulting services, tutorials, article submissions, and community engagement. Users can access downloadable cheat sheets for AI, neural networks, machine learning, deep learning, and data science. The magazine covers topics such as AI transformation, quality inspection in automotive, consciousness types, data mining, chatbots, and more.

Artificial Intelligence Radio is a website that provides AI-generated music. The website features a variety of AI-generated songs that can be streamed or downloaded for free. The website also includes a blog that discusses the latest developments in AI music generation.

Aithor.com is an advanced AI content creation tool designed for writing and paraphrasing essays and papers online. It offers features such as Topic Finder, Outline Creator, Paper Wizard, and AI Co-Writer to assist users in creating academic content. Aithor ensures consistent on-brand messaging and provides personalized papers in minutes, helping users save time and enhance their writing skills.

Bibit AI is a real estate marketing AI designed to enhance the efficiency and effectiveness of real estate marketing and sales. It can help create listings, descriptions, and property content, and offers a host of other features. Bibit AI is the world's first AI for Real Estate. We are transforming the real estate industry by boosting efficiency and simplifying tasks like listing creation and content generation.

Amazon Science is a research and development organization within Amazon that focuses on developing new technologies and products in the fields of artificial intelligence, machine learning, and computer science. The organization is home to a team of world-renowned scientists and engineers who are working on a wide range of projects, including developing new algorithms for machine learning, building new computer vision systems, and creating new natural language processing tools. Amazon Science is also responsible for developing new products and services that use these technologies, such as the Amazon Echo and the Amazon Fire TV.

Learn Languages AI is a language learning tool that uses artificial intelligence to help users learn new languages. The tool is built on Telegram and allows users to speak, text, and play with an AI teacher. Learn Languages AI is designed to help users reach all of their language learning goals. The tool is free to use and does not require an account.

The AI Blog is a platform dedicated to artificial intelligence, providing innovative, informative, and entertaining content. The website showcases the progress of AI capabilities in various fields such as text, image, video, audio, design, technology, and education. All content on the site is generated by artificial intelligence with some human assistance, making it a form of digital art.

Sora Hunters is a website dedicated to providing information about OpenAI's Sora Video and Stability Video Diffusion. The website features videos, blogs, and other resources that help users learn about and use these AI-powered video tools. Sora Hunters also has a community forum where users can connect with each other and share their experiences using Sora Video and Stability Video Diffusion.

The Visual Computing & Artificial Intelligence Lab at TUM is a group of research enthusiasts advancing cutting-edge research at the intersection of computer vision, computer graphics, and artificial intelligence. Our research mission is to obtain highly-realistic digital replica of the real world, which include representations of detailed 3D geometries, surface textures, and material definitions of both static and dynamic scene environments. In our research, we heavily build on advances in modern machine learning, and develop novel methods that enable us to learn strong priors to fuel 3D reconstruction techniques. Ultimately, we aim to obtain holographic representations that are visually indistinguishable from the real world, ideally captured from a simple webcam or mobile phone. We believe this is a critical component in facilitating immersive augmented and virtual reality applications, and will have a substantial positive impact in modern digital societies.

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.

This is an open-source project for playing the game King of Glory with an artificial intelligence model. The first phase of the project has been completed, and future upgrades will be built upon this foundation. The second phase of the project has started, and progress is expected to proceed according to plan. For any questions, feel free to join the QQ exchange group: 687853827. The project aims to learn artificial intelligence and strictly prohibits cheating. Detailed installation instructions are available in the doc/README.md file. Environment installation video: (bilibili) Welcome to follow, like, tip, comment, and provide your suggestions.

A repository providing basic concepts, technical challenges, and resources on data engineering in Spanish. It is a curated list of free, Spanish-language materials found on the internet to facilitate the study of data engineering enthusiasts. The repository covers programming fundamentals, programming languages like Python, version control with Git, database fundamentals, SQL, design concepts, Big Data, analytics, cloud computing, data processing, and job search tips in the IT field.

Awesome LLM Courses is a curated list of online courses focused on Large Language Models (LLMs). The repository aims to provide a comprehensive collection of free available courses covering various aspects of LLMs, including fundamentals, engineering, and applications. The courses are suitable for individuals interested in natural language processing, AI development, and machine learning. The list includes courses from reputable platforms such as Hugging Face, Udacity, DeepLearning.AI, Cohere, DataCamp, and more, offering a wide range of topics from pretraining LLMs to building AI applications with LLMs. Whether you are a beginner looking to understand the basics of LLMs or an intermediate developer interested in advanced topics like prompt engineering and generative AI, this repository has something for everyone.

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.

Start Machine Learning in 2024 is a comprehensive guide for beginners to advance in machine learning and artificial intelligence without any prior background. The guide covers various resources such as free online courses, articles, books, and practical tips to become an expert in the field. It emphasizes self-paced learning and provides recommendations for learning paths, including videos, podcasts, and online communities. The guide also includes information on building language models and applications, practicing through Kaggle competitions, and staying updated with the latest news and developments in AI. The goal is to empower individuals with the knowledge and resources to excel in machine learning and AI.

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.

This repository contains a collection of sample applications and Jupyter Notebooks for hands-on experience with Pinecone vector databases and common AI patterns, tools, and algorithms. It includes production-ready examples for review and support, as well as learning-optimized examples for exploring AI techniques and building applications. Users can contribute, provide feedback, and collaborate to improve the resource.

Welcome to the μLearn x Pathway Initiative, an exciting adventure into the world of Artificial Intelligence (AI)! This comprehensive course, developed in collaboration with Pathway, will empower you with the knowledge and skills needed to navigate the fascinating world of AI, with a special focus on Large Language Models (LLMs).

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.

Awesome-Lists is a curated list of awesome lists across various domains of computer science and beyond, including programming languages, web development, data science, and more. It provides a comprehensive index of articles, books, courses, open source projects, and other resources. The lists are organized by topic and subtopic, making it easy to find the information you need. Awesome-Lists is a valuable resource for anyone looking to learn more about a particular topic or to stay up-to-date on the latest developments in the field.

This repository contains course materials for T81 559: Applications of Generative Artificial Intelligence at Washington University in St. Louis. The course covers practical applications of Large Language Models (LLMs) and text-to-image networks using Python. Students learn about generative AI principles, LangChain, Retrieval-Augmented Generation (RAG) model, image generation techniques, fine-tuning neural networks, and prompt engineering. Ideal for students, researchers, and professionals in computer science, the course offers a transformative learning experience in the realm of Generative AI.

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.

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.

The 'Awesome AI Guidelines' repository aims to simplify the ecosystem of guidelines, principles, codes of ethics, standards, and regulations around artificial intelligence. It provides a comprehensive collection of resources addressing ethical and societal challenges in AI systems, including high-level frameworks, principles, processes, checklists, interactive tools, industry standards initiatives, online courses, research, and industry newsletters, as well as regulations and policies from various countries. The repository serves as a valuable reference for individuals and teams designing, building, and operating AI systems to navigate the complex landscape of AI ethics and governance.

This open-source project, also known as **Deep Learning System** or **AI System (AISys)**, aims to explore and learn about the system design of artificial intelligence and deep learning. The project is centered around the full-stack content of AI systems that ZOMI has accumulated,整理, and built during his work. The goal is to collaborate with all friends who are interested in AI open-source projects to jointly promote learning and discussion.

Java-Interview-Tutorial is a repository containing resources and tutorials for Java interview preparation. It provides guidance on setting up the project locally, adjusting image paths, and submitting articles. The repository also includes instructions for configuring the project and using Git GUI tools for managing content. Users can learn about Java concurrency programming and navigate through the content easily. The repository emphasizes clean article titles and content formatting to ensure proper display on the website.

LearnOpenCV is a repository containing code for Computer Vision, Deep learning, and AI research articles shared on the blog LearnOpenCV.com. It serves as a resource for individuals looking to enhance their expertise in AI through various courses offered by OpenCV. The repository includes a wide range of topics such as image inpainting, instance segmentation, robotics, deep learning models, and more, providing practical implementations and code examples for readers to explore and learn from.

The AWS Healthcare and Life Sciences AI/ML Immersion Day workshops provide hands-on experience for customers to learn about AI/ML services, gain a deep understanding of AWS AI/ML services, and understand best practices for using AI/ML in the context of HCLS applications. The workshops cater to individuals at all levels, from machine learning experts to developers and managers, and cover topics such as training, testing, MLOps, deployment practices, and software development life cycle in the context of AI/ML. The repository contains notebooks that can be used in AWS Instructure-Led Labs or self-paced labs, offering a comprehensive learning experience for integrating AI/ML into applications.

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.

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Dive into the depths of the ocean in 'Aqua Explorer: Underwater Archaeology', a game that blends the excitement of underwater exploration with the discovery of ancient civilizations and marine life. Uncover hidden artifacts, learn about historical underwater. Another AI Game by Dave Lalande

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