Dentro de AI - Educational Resource to make Artificial Intelligence more Understandable
Claude Code: The Revolution Nobody Noticed How a terminal tool quietly kicked off the age of AI agents On February 24, 2025, Anthropic released a research preview of Claude Code - a command-line tool that let an AI read files, run commands, and write code from a terminal window. There was no launch event and no viral demo, which is why the world did not notice. Mainstream was busy playing with…
AI Adoption is a Trap Optimizing for Today Might Lock You Out of Tomorrow Everyone tells you to implement AI. It is what the conference speakers promote, what competitors are doing, where the money is being made, where the big headlines are. And they are not wrong - AI delivers real productivity gains, cost savings and a strong feeling of competitive advantage. It seems like the right thing to do.…
AI Adoption vs AI Transformation Learn from DTM to Build AI-Native Organization The pressure to 'adopt AI' echoes earlier technology waves: the personal computer, the internet, mobile. Each time, organizations that merely bolted new technology onto existing structures captured only a fraction of the available value. AI is no different - except the stakes are higher, and the window shorter. The…
A modern Large Language Model (LLM) is capable of retrieving and connecting information from a massive body of knowledge, yet the resulting model weight is surprisingly small compared to the data it was trained on. This compression is possible because we have moved from an architecture of data storage to one of mathematical representation. In traditional computing, we rely on Data Persistence. If…
Developing a Three-Week AI Curriculum as a Personal Side Project About half a year ago I launched dentro.de/ai with a simple idea in mind: provide clear, simplified explanations of modern AI in one place: 'Inside AI'. In the background there was always a bigger plan. I wanted all those loose pieces to eventually line up as a complete scaleable learning path. Not just a glossary here, a visualizer…
Analogy to understand Open Source in generative AI Models We often hear the terms 'Open Source' and 'Open Weights' in the world of AI models - but what is the difference? Traditional software uses open source for full transparency and reproducibility. AI is not like traditional software, because the 'brain' - our fully trained model - is a compressed representation of the huge amount of training…
How Large Language Models like ChatGPT Work You're likely interacting with AI (Artificial Intelligence) more and more, perhaps using tools like ChatGPT for drafting emails, summarizing reports, or even brainstorming ideas. These Large Language Models (LLMs) have become remarkably capable, but how do they actually work ? What's happening behind the screen when you type a prompt and receive a well…
AI Model Lifecycle - Analogy Explained with Cars The process of creating, deploying, and using Large Language Models (LLMs) involves numerous intricate steps. Given the complexity in AI development, drawing parallels to more familiar industrial processes can aid understanding. This guide presents an analogy, comparing each stage of the LLM lifecycle to the established process of designing,…