fine-tuning — Taking a trained model and training it a bit more on your own examples so it gets better at one specific job.
LoRA — A cheap way to fine-tune a model by training a small add-on layer instead of changing all of the model's weights.
open weights — A model whose trained parameters are published for anyone to download and run — unlike API-only models you can access but never possess.
Why it matters
Researchers get post-training primitives against large open weightsA model whose trained parameters are published for anyone to download and run — unlike API-only models you can access but never possess.Full definition → models, where switching model size is a string change. The provider handles scheduling and failure recovery, and the Cookbook ships reference implementations.
