Guides
Practical, sourced guides on open-source AI: how it works, what it costs and what to do next.
Case analysisGoing headless like Revolut: what replacing Claude Code with an open model tookRevolut now runs most of its AI coding on an open-weight model it serves itself, for about a tenth of its former bill. A reconstruction of what it built, what the numbers mean for other companies, and the step that comes after.
Practical guideHow to train your own AI model on company dataMost of the work in training a company model happens before any training starts. A step-by-step account of the data work, the choice of base model, the training methods and the rules that apply in Europe.
Licence guideOpen source vs open weights: what each licence lets a company doAlmost every model sold as open-source AI publishes its weights but not its training data. The difference rarely matters for internal use. It matters a great deal for companies that resell a model or build a product on it.
EuropeOpen-source AI in Europe: the models, the rules and where to run themEurope now has its own open-weight models, its own rules for them and its own reasons to keep AI close to home. A country-by-country guide to the models, the law and the path to an AI a European company controls.
Regulation guideThe EU AI Act and open-source models: what a company that fine-tunes one must doThe AI Act gives open-source models a partial exemption, and most companies that fine-tune one never become the provider of a new model. A reading of the articles, the Commission’s guidance and the 2026 Omnibus, ending in a checklist.
Also in: Deutsch · Français · Español · Italiano · Nederlands · Polski