How a general language model becomes your own. Training data, measurement, and what really happens when you post-train on German text.
Part 3 ended with a question. This time I ran the two-by-two I should have run first, and the answer came back in two halves. The method works and it stacks with a system prompt, down to the best score this project ever produced. That exact arm is the one that reads worst.
Part 3 of the series on how I built a German anti-slop language model. Part 1 was the diagnosis, Part 2 the definition. This one is the build, and the hardest work sat in the ruler rather than in the training.
Part 2 of the series on building a German anti-slop language model. A taxonomy of AI slop, grounded in half a year of notes in which I tried to turn a gut feeling into a list.
Part 1 of a series about building a German anti-slop language model, and why that turned out harder than I expected.
