Tutorials
KI-Tutorials von Anfänger bis Fortgeschritten, die dir helfen, die LLM-Entwicklung systematisch zu meistern.
Empfohlene Tutorials
Getting Started with LLMs: How Large Language Models Work
A plain-language explanation of how large language models (LLMs) work: tokens, next-word prediction, the context window, and hallucination.
Prompt Engineering in Practice: Writing High-Quality AI Prompts
Master the core techniques of prompt engineering: clear instructions, context and examples, step-by-step reasoning, role setting, and common pitfalls.
Build Your First AI App with the OpenAI API
From obtaining an API key to sending your first chat request and handling streaming output and errors—walk through the full OpenAI API flow.
Build a Knowledge-Base Q&A System with RAG
Understand the full retrieval-augmented generation (RAG) flow: document chunking, embeddings, vector retrieval, and context assembly so the LLM answers from your knowledge base.
Getting Started with Fine-Tuning: LoRA and QLoRA
Understand when fine-tuning is needed, and the core ideas and practical tips behind the efficient fine-tuning methods LoRA and QLoRA.
Deploying Open-Source LLMs Locally: Ollama in Practice
Run open-source LLMs locally with a single command using Ollama, covering installation, running, API access, and model selection.
Weitere Lernressourcen
NEUThe Complete OpenAI API Guide
Learn to use the OpenAI API from scratch, including how to call models such as GPT-4, DALL·E, and Whisper, along with best practices.
NEULangChain Framework Tutorial
Dive into the LangChain framework and master the core concepts of LLM application development, including Chains, Agents, and Memory.
NEUPrompt Engineering Guide
Systematically learn prompt engineering techniques and best practices to improve how you interact with AI models.
NEUWhisper Speech Recognition Tutorial
Perform speech recognition with the OpenAI Whisper model, supporting multilingual transcription and translation.
NEUHands-on LLM Fine-Tuning
Learn how to fine-tune large language models, including efficient methods such as LoRA and QLoRA.
NEUOpenAI Whisper Speech Recognition Guide
Learn to use OpenAI Whisper for speech recognition and transcription, with support for multiple languages and local deployment.
NEUThe Complete Midjourney V6 Guide
A detailed guide to using Midjourney V6, covering new features and advanced techniques.
NEUPython AI/ML Libraries Collection
A roundup of popular Python libraries for AI and machine learning, including TensorFlow, PyTorch, and Scikit-learn.
NEUStable Diffusion Beginner Tutorial
Learn Stable Diffusion from scratch, covering installation, configuration, and usage.
NEUReplicate API Usage Guide
Learn to use the Replicate API to run open-source AI models without managing any infrastructure.
NEUHugging Face Transformers Tutorial
Learn to use the Hugging Face Transformers library for NLP and CV tasks.
NEULlamaIndex Framework Tutorial
Learn to build RAG applications and knowledge base systems with LlamaIndex.
NEUFlux Image Generation Model Guide
Learn to use the open-source Flux image generation model, covering local deployment and API access.
NEUDeepSeek API Usage Guide
The official documentation and usage tutorial for the DeepSeek API.
NEUComfyUI Workflow Guide
A detailed ComfyUI workflow tutorial covering common nodes and advanced techniques.
NEUSuno AI Music Creation Guide
A detailed tutorial with tips for creating AI music using Suno.
NEUCursor IDE Usage Guide
A detailed tutorial with tips for the Cursor AI code editor.
NEURunway Video Generation Guide
A detailed tutorial for creating AI videos with Runway.
NEULearn Prompting Tutorial
An open-source introductory course on prompt engineering that systematically covers techniques from basic to advanced, with fully free content.
NEUfast.ai Practical Deep Learning Course
A free deep learning course from fast.ai that uses a top-down teaching approach to help developers get hands-on quickly.
NEUOpenAI Cookbook
Official example code and guides from OpenAI showing practical patterns for building with the API, from embeddings to function calling.
NEUGoogle Machine Learning Crash Course
A free, hands-on introduction to machine learning from Google, featuring video lessons, interactive visualizations, and exercises.