KI-Hardware & Lernen

22 Einträge — KI-Hardware & Lernen

⚠️ Stand: Juli 2026 — einige Links können veraltet sein. Quelle: github.com/eudk/awesome-ai-tools

🖥️ KI-Hardware & Edge-KI

NVIDIA JetsonEmbedded-KI-Plattform — Orin, Nano, AGX für Robotik und Edge-KI mit GPU-Beschleunigung.Raspberry Pi + Google CoralKostengünstiger KI-Einstieg — Raspberry Pi mit Coral USB Accelerator für Edge-Inference.Google CoralEdge-TPU-Devices — USB Accelerator, Dev Board, Mini PCIe für schnelle lokale KI-Inferenz.Intel Movidius Myriad XVision Processing Unit — KI für Drohnen, Smart Cameras und Edge-Devices.Google AIY KitsDIY-KI-Kits — Voice Kit und Vision Kit für Raspberry Pi, ideal für Maker und Einsteiger.Arduino Nicla VisionVision-fähiges Arduino-Board — 2MP-Kamera, Edge-Impulse-Integration, low-power.Unitree RoboticsKI-Roboterhunde — Go1, AlienGo, B1 für Bildung, Sicherheit und Industrie.Boston Dynamics SpotProfessioneller KI-Quadruped — 360°-Sicht, autonome Navigation, Industrie-Inspektionen.

🎓 KI-Lernressourcen

Machine Learning (Andrew Ng)Der Klassiker — Stanford-Professor Andrew Ngs ML-Kurs auf Coursera, Einstieg in KI/ML.DeepLearning.AISpezialisierte KI-Kurse — Deep Learning, NLP, Generative AI, MLOps von Andrew Ng.fast.aiPraktische Deep-Learning-Kurse — Top-Down-Ansatz, baut schnell funktionierende Modelle.Kaggle LearnKostenlose Micro-Kurse — Python, ML, Deep Learning, SQL, direkt mit Praxis-Übungen.Deep Learning BookStandardwerk von Goodfellow, Bengio & Courville — umfassendes Theorie-Fundament.Introduction to Statistical LearningGrundlegendes Statistik-/ML-Buch von James, Witten, Hastie & Tibshirani — kostenloses PDF.Google AI EducationGoogles kostenlose Bildungsressourcen — Kurse, Guides und Tools für KI-Einsteiger.Practical Deep Learning (fast.ai)Kostenloser Online-Kurs — von Grundlagen zu State-of-the-Art-Modellen.Learn Agentic PatternsInteraktives Curriculum — 21 agentische KI-Design-Patterns mit Code, Diagrammen und Spielen.3Blue1Brown (YouTube)Mathematisch-visuelle Erklärungen — neuronale Netze, lineare Algebra, Calculus.StatQuest (YouTube)Statistik und ML-Konzepte — klar und humorvoll erklärt von Josh Starmer.Lex Fridman (YouTube)Podcasts und Interviews mit KI-Forschern — tiefgehende Gespräche über KI und Technologie.Khan AcademyGrundlagen der Informatik und KI — interaktive Übungen und Video-Tutorials.MIT AI (OpenCourseWare)Kompletter MIT-KI-Kurs — Vorlesungen, Übungen und Prüfungen, kostenlos online.

🤖 KI-Roboter & Roboterhunde

Unitree Robotics Go1A quadruped robot "dog" designed for agility, real-time obstacle avoidance, and smooth motion. It is well-suited for hobbyists, educational institutions, and light security tasks.Unitree Robotics AlienGoA more advanced robotic dog capable of carrying heavier loads and performing complex tasks, popular for research and industrial use.Boston Dynamics SpotThe well-known quadruped robot built for terrain adaptability, heavy-duty tasks, and integration with high-level applications. Spot is often used in security, inspections, and industrial automation.Unitree Robotics B1A new quadruped robot with industrial-grade capabilities, rugged design, and powerful AI-driven functionality.Agility Robotics DigitA humanoid bipedal robot optimized for logistical tasks, such as warehouse support and last-mile delivery.Tesla BotCurrently in development, this humanoid robot by Tesla is designed for everyday tasks and human interaction.Ghost Robotics Vision 60A rugged quadruped robot tailored for outdoor and military applications, capable of enduring harsh conditions and demanding environments.ANYbotics ANYmalA quadruped robot from ANYbotics designed for inspection tasks in industrial environments, including oil, gas, and mining facilities.

🖥️ LLM-Software

ChatGPTDeveloped by OpenAI, ChatGPT is a powerful, cloud-based language model (GPT-4) known for its versatility in text generation, coding support, and conversational AI. It is available through OpenAI's web interface and API, making it accessible for both casual and professional users.ClaudeCreated by Anthropic, Claude is an advanced conversational AI that competes with ChatGPT in natural language understanding and can handle complex queries. Known for its ethical AI framework, Claude offers nuanced, safe, and reliable responses across a wide range of applications.LM StudioLM Studio provides a versatile environment for fine-tuning, deploying, and using language models. Ideal for developers and researchers, it supports running large language models on local hardware, making it a strong choice for custom model training and deployment without relying on cloud-based solutions.LLaMA 2Meta’s open-source language model that can be run locally on powerful hardware setups. LLaMA 2 is designed for researchers and developers who need a customizable, open-source solution for tasks like natural language processing, content generation, and research.AlpacaDeveloped by Stanford, Alpaca is an instruction-following model based on LLaMA, fine-tuned for improved performance on specific tasks. Alpaca can be deployed locally, allowing researchers to work with large language models offline for greater privacy and control.MistralAn open-weight model that competes with LLaMA, offering a balance between performance and efficiency. Mistral can run on local servers or personal hardware for high-performance, private deployment of language models.GPT4AllGPT4All offers a range of locally deployable language models that are specifically optimized to run on consumer-grade hardware. Ideal for users who want to run a high-quality LLM without relying on cloud services, GPT4All supports tasks like chatbots, content generation, and code assistance.VicunaA powerful open-source model fine-tuned from LLaMA, designed to be conversational and responsive, similar to ChatGPT. Vicuna is available for local deployment, allowing developers to create customized AI applications with private and secure local execution.WizardLMWizardLM is a family of fine-tuned models based on open-source language models, optimized for instruction-following tasks. Known for its high-quality performance in natural language understanding and generation, WizardLM can be run on local servers.OpenAssistantA community-driven project that provides open-source LLMs for various conversational tasks, similar to ChatGPT. OpenAssistant models can be deployed locally, giving developers full control over AI deployment and customization.Text Generation Web UIAn open-source web-based interface for running and managing language models locally, with support for a range of models, including LLaMA, GPT-J, and others. This tool is popular for experimentation and customization of LLMs without relying on cloud infrastructure.Dolly 2.0Developed by Databricks, Dolly 2.0 is an open-source, instruction-tuned LLM that can be run locally, offering a cost-effective alternative for businesses looking for tailored solutions without recurring cloud costs.Flan-T5A variant of Google’s T5 model, fine-tuned with instruction-based learning (Flan). Flan-T5 is popular in the open-source community for various natural language processing tasks, and it can be deployed on local hardware for private usage.Cerebras-GPTCerebras Systems provides open-source GPT models optimized for their AI-specific hardware. While designed for large-scale deployment, Cerebras-GPT models can also be run on specific compatible local setups, making it suitable for research or enterprise applications.

🎓 Online-Kurse & Plattformen

Learn Agentic PatternsFree interactive curriculum covering 21 agentic AI design patterns with code examples, architecture diagrams, and interactive decision-making games.

📖 Kostenlose Lern-Websites

▶️ YouTube-Kanäle

Data SchoolPractical data science and machine learning tutorials.Luis SerranoSimplifying machine learning and artificial intelligence concepts.Arxiv InsightsExplaining complex AI and machine learning papers.AI Coffee Break with LetitiaBrief and informative sessions on AI topics.Yannic KilcherDeep dive into AI research papers.DeeplizardAdvanced tutorials on deep learning and neural networks.Henry AI LabsInsights into the latest AI research and developments.AI EngineeringIn-depth AI engineering and data science topics.Hadelin de PontevesCourses and tutorials on AI and machine learning.CodeEmporiumDemystifying AI concepts through coding.Python ProgrammerFocus on Python programming for AI and data science.School of AIDedicated to teaching AI to a global community.AI SciencesAI and ML tutorials and courses.Python EngineerPython programming with a focus on AI applications.sentdexPython programming tutorials with AI and ML focus.Brandon RohrerSimplifying machine learning concepts.Data ProfessorData science, bioinformatics, and AI content.Daniel BourkeMachine learning and AI tutorials.Giant Neural NetworkExploring the world of neural networks.Krish NaikData science, machine learning, and AI tutorials.Machine Learning Street TalkIn-depth discussions on machine learning topics.MIT OpenCourseWareEducational content from MIT, including AI lectures.Paul G. Allen SchoolAI and computer science lectures from the University of Washington.The AI UniversityLearning and development in AI and data science.The Sound of AIThe intersection of AI and music technology.Welch LabsFocusing on AI, neural networks, and deep learning.What's AIBreaking down AI concepts and news.Machine Learning TVMachine learning tutorials and explanations.Robert BrunhageFlutter, Dart, and AI programming tutorials.The AI EpiphanyExploring AI technologies and concepts.

📚 Bücher & Fachliteratur

🔬 Interaktives Lernen

🎁 Kostenlos für Studenten

GitHub Student Developer PackKostenlose Tools: GitHub Copilot Pro, $100 Azure, $200 DigitalOcean, DataCamp, MongoDB.Google AI Pro for Students1 Jahr kostenlos: Gemini Advanced, NotebookLM, 2 TB Cloud-Speicher.JetBrains Student PackAlle IDEs kostenlos (PyCharm, IntelliJ, WebStorm) + JetBrains AI Trial.AI Engineer PackKuratierte Angebote: ElevenLabs, Perplexity Pro für Studenten.AWS EducateKostenlose AWS-Cloud-Labs und KI/ML-Kurse, keine Kreditkarte.RoadmapA roadmap connecting many of the most important concepts in machine learning, how to learn them, and what tools to use to perform them.Sebastian Thrun’s Introduction To Machine Learningrobust introduction to the subject and also the foundation for a Data Analyst “nanodegree” certification sponsored by Facebook and MongoDB.AI and Machine Learning RoadmapsRoadmaps featuring essential concepts, learning methods, and the tools to put them into practice.How To Learn Artificial Intelligence (AI)?provides a step-by-step guide for beginners to understand and develop AI skills. It covers foundational topics like programming (Python), mathematics, and machine learning, progressing to advanced concepts such as deep learning and neural networks.Geoffrey Hinton’s Neural Networks For Machine Learningit is now removed from cousrea but still check these listcoursera-deep-learning-specializationNotes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.aitensorflowall important notes to learn pytorch with all the examples in google colabHow Large Language Models Will Transform Science, Society, and AIArticle summarizing the capabilities and limitations of the GPT-3 model, and its potential impact on society. By Alex Tamkin and Deep Ganguli, February 5, 2021.Generative AI: A Creative New WorldA comprehensive examination of the generative AI industry, offering a historical perspective and in-depth analysis of the industry ecosystem. By Sonya Huang, Pat Grady and GPT-3, September 19, 2022.A Coming-Out Party for Generative A.I., Silicon Valley's New CrazeArticle about the rise of generative AI, particularly the success of the Stable Diffusion image generator, and the associated controversies. New York Times, October 21, 2022.AI's New Creative Streak Sparks a Silicon Valley Gold RushArticle about the growing hype and investment in generative AI startups, with various industries exploring its potential applications. Wired, October 27, 2022.ChatGPT Heralds an Intellectual RevolutionAn op-ed by Henry Kissinger, Eric Schmidt and Daniel Huttenlocher. Wall Street Journal, February 24, 2023.OpenAI APIAnnouncement of the OpenAI API for text-to-text general-purpose AI models based on GPT-3. OpenAI blog, June 11, 2020.GitHub CopilotAnnouncement of Copilot, a new AI pair programmer that helps you write better code. GitHub blog, June 29, 2021.DALL·E 2Announcement of the release of DALL·E 2, an advanced image generation system with improved resolution, expanded image creation capabilities, and various safety mitigations. OpenAI blog, April 6, 2022.Stable Diffusion Public ReleaseAnnouncement of the public release of Stable Diffusion, an AI-based image generation model trained on a broad internet scrape and licensed under a Creative ML OpenRAIL-M license. Stable Diffusion blog, 22 August, 2022.ChatGPTAnnouncement of ChatGPT, a conversational model trained to answer follow-up questions, admit mistakes, challenge incorrect premises, and reject inappropriate requests. OpenAI blog, November 30, 2022.Bing SearchMicrosoft announces a new version of its search engine Bing, powered by a next-generation OpenAI model. Microsoft blog, February 7, 2023.LLaMALlama LLM, a foundational, 65-billion-parameter large language model by Meta. Meta, February 23rd, 2023. #opensourceGPT-4Announcement of GPT-4, a large multimodal model. OpenAI blog, March 14, 2023.DALL·E 3Announcement of DALL·E 3 image generator. OpenAI blog, September 20, 2023.SoraPresentation of Sora, a large video generation model. OpenAI, February 15, 2024.OpenAI Prompt Engineering GuideStrategies and tactics for getting better results from large language models.PromptPerfectTool for prompt engineering.Anthropic coursesAnthropic's educational courses.Build a Large Language Model (From Scratch)A guide to building your own working LLM, by Sebastian Raschka.Prompt Engineering for Vision ModelsA free DeepLearning.AI short course on how to prompt computer vision models with natural language, bounding boxes, segmentation masks, coordinate points, and other images.Build a Reasoning Model (From Scratch)A guide to building a working reasoning model from the ground up, by Sebastian Raschka.Build an AI Agent (From Scratch)A book about building AI agents with tools, memory, planning, and multi-agent systems.Build a DeepSeek Model (From Scratch)A book about implementing DeepSeek-style LLM architecture, training, and distillation methods.AI GovernanceA book about governance, risk, compliance, security, privacy, and oversight for generative AI systems.AnimatedLLMInteractive visualizations explaining how large language models work. [#opensource](https://github.com/kasnerz/animated-llm)Transformer ExplainerInteractive visualization of how transformer-based LLMs work, running a live GPT-2 model in the browser. [#opensource](https://github.com/poloclub/transformer-explainer)
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