Jev-Like Model Learns to Cook

• inference — Running a trained model to get answers — the phase where AI is actually used, as opposed to trained.
• 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.
• fine-tuning — Taking a trained model and training it a bit more on your own examples so it gets better at one specific job.

Provides a reproducible recipe (LoRA fine-tuning of an NLI scoring head with adapted GRPO) for training a lightweight decision model to act through raw environment controls, with no planner or macros, and public code to try it.

• articleJev: System One models for Prod, not God — with Diogo Almeida, CEO, TypeSafe AIwww.latent.space
• articleIntroducing System One Models and Jevalbelfio
• articleOpenAI is well positioned to fast-follow JevJohnBerryman

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