marketing LLM

Marketing LLMs and open models

Medicine, law, finance and code each have open models of their own. Marketing mostly rents general models and marks them up. Posts in this hub cover the open and small-model side of marketing AI, measured rather than asserted.

The measured evidence for this topic lives in The gloofy models.

3 posts

Other topics

  • AI ad platforms

    What Meta, Google and TikTok are automating in advertising, what the announcements actually ship, and what that leaves for an independent model to check.

  • Ad creative and copy

    Hooks, angles, ad copy and creative analysis: how to tag what an ad is doing, and what a model can and cannot learn about why it works.

  • Benchmarks and evaluation

    How to tell whether a marketing AI is any good: public benchmarks, blind judging, label quality, seed variance and the claims they do and do not support.

  • Fine-tuning and building models

    When fine-tuning beats prompting and when it does not, with measured results: LoRA adapters, scaling curves, quantization and label quality.

  • Platform specs and compliance

    Safe zones, character limits, aspect ratios and ad policy: the rules that decide whether an ad renders correctly before anyone judges whether it is good.