Categories: Fundamentals AI
AI Fundamentals provide a technical understanding of artificial intelligence and local language models. From terminology and neural networks to prompts and running local models—practical explanations for Linux-experienced users.
Categories: Fundamentals AI
Why the term Artificial Intelligence is used in so many different ways, which technologies fall under it, and how this series defines it.
Categories: Fundamentals AI
Understanding neural networks, parameters, training, and inference. Why language models hallucinate, why a context window limits a conversation, and how these concepts are connected.
Categories: Fundamentals AI Digital Sovereignty
Local AI models vs. cloud APIs. Storage, RAM requirements, quantization, offline operation, and the tool ecosystem.
Categories: Fundamentals AI
Why language models respond differently to different wording. Tokenization, system prompts, temperature, and the limits of prompt engineering.
Categories: AI
Since the AI Act's transparency obligations took effect, some websites label everything while others label nothing. Anyone who understands the difference between transparency and labeling can make sense of the headlines.
Categories: AI
Why it's not the AI itself that matters, but what it does. A look at the thinking behind the AI Act, starting with a device that nobody considers artificial intelligence.
Categories: AI Fundamentals
The AI Act is generating contradictory headlines. Once you understand why the law was created, you can evaluate those claims for yourself.
Categories: Biocodie Playground
Codeberg is excluding projects that are predominantly generated by AI. A look from the Biocodie perspective: perhaps the problem is not where the code comes from, but how a system deals with unreliable neighbors.
Categories: Experiences Digital Sovereignty
AI is genuinely useful—if you understand what you're dealing with. Neither a tool nor an oracle.