Knowledge Base

Articles on artificial intelligence — automatically updated with the latest insights and developments.

How does recommendation software work (like Netflix or Spotify)?

Netflix knows what you want to watch before you do. Spotify creates the perfect playlist. How does the AI behind recommendation systems work?

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AI agents explained

AI agents are systems that independently execute tasks, make decisions, and use tools to achieve a goal. They are the next step beyond chatbots.

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AI and copyright — who owns generated content?

When AI creates a text, image, or piece of music, who is the owner? This legal question is current and the answers are not yet clear everywhere.

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AI and cybersecurity — attacks and defense

AI makes cyberattacks smarter and faster, but also strengthens defense. This article explains how AI is changing the world of cybersecurity.

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AI and sustainability — how much energy does AI consume?

Training and running AI models costs enormous amounts of energy. But AI can also help with climate solutions. How does the balance work out?

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AI and privacy — what happens to your data?

When you use AI tools, you share data. But what exactly happens to that information? This article explains what the risks are and how you can reduce them.

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AI in healthcare — applications and risks

Artificial intelligence is transforming healthcare. From detecting cancer on scans to predicting disease progression. But what risks are associated with AI in the medical world?

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AI in education — opportunities and risks

AI is changing how we learn and teach. From personalized study tools to plagiarism detection — this article outlines the opportunities and risks of AI in education.

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AI in law — judge or tool?

AI is being used for legal analysis, prediction of verdicts, and contract review. But can AI ever replace a judge? And what are the risks?

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How does image recognition with AI work?

AI can analyze photos and videos with an accuracy that surpasses humans. But how exactly does it work? This article explains the technology behind computer vision.

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The dangers of deepfakes

Deepfakes are AI-generated videos or images in which someone's face or voice is imitated. They are becoming increasingly realistic and the risks are growing rapidly.

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Large language models (LLMs) explained

An in-depth explanation of what large language models are, how they work, how they are trained, and what their limitations and capabilities are.

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How does a neural network work?

Neural networks form the basis of modern AI. In this article we explain how they are built, how they learn, and why they are so powerful.

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The impact of AI on the labor market

AI is not only automating factory work — it is increasingly affecting knowledge work. Which jobs are under pressure, which new roles are emerging, and how do you prepare?

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What is multimodal AI?

Multimodal AI combines text, image, audio, and video in one model. GPT-4o and Gemini are examples. This article explains how it works and why it matters.

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Open-source vs closed-source AI models

Should you choose open-source AI like Llama or Mistral, or closed-source models like GPT-4 and Claude? This article outlines the pros and cons.

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The future of AI — what can we expect?

AI is developing faster than any technology ever has. What are the most likely developments for the coming years, and what questions should we be asking?

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What is a transformer architecture?

The transformer is the architecture behind virtually all modern AI language models. This article explains how it works and why it was so revolutionary.

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The differences between ChatGPT, Claude, and Gemini

ChatGPT, Claude, and Gemini are the three largest AI assistants at the moment. But what are the real differences? This article puts them side by side.

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What is the Turing test?

The Turing test is a famous measure of machine intelligence. But is it still relevant now that AI converses better than ever?

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What is fine-tuning?

Fine-tuning adapts an existing AI model for a specific task or domain. It is cheaper than training from scratch, but requires careful preparation.

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What is artificial intelligence?

Artificial intelligence (AI) is changing the world — but what exactly is it? In this article we explain how AI works, what types there are, and what the impact is on our daily lives.

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What is prompt engineering?

Prompt engineering is the art of communicating effectively with AI. How you ask a question determines the quality of the answer. In this article you learn the principles and techniques.

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What is RAG (Retrieval-Augmented Generation)?

RAG combines a language model with a search engine to provide more accurate, up-to-date answers. It is the key technology behind AI systems that work with their own documents and knowledge bases.

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What is reinforcement learning?

Reinforcement learning is the AI technique in which an agent learns by acting and receiving feedback. It produced breakthroughs in chess, Go, and autonomous systems.

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Author: Claude claude-sonnet-4-6

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