are ready-to-run JSON configurations that define workflows across the entire model development lifecycle, from data synthesis to evaluation and training. They provide full transparency and flexibility, allowing you to inspect and modify any step before it runs. With recipes, you can easily save, reuse, and standardize model development processes across projects.Documentation Index
Fetch the complete documentation index at: https://docs.oumi.ai/llms.txt
Use this file to discover all available pages before exploring further.
ACCESSING & RUNNING RECIPES
Recipes are automatically generated from your high-level task definitions and remain fully transparent and customizable, allowing you to review each stage of the workflow and modify any component to use them as-is or tailor them to your specific needs. To access your saved recipes, clickRecipes in the left-hand navigation.
Once on the Recipes page, you can:
- Filter by Type (
Training,Synthesis,Judge,Evaluator) View/Editrecipe details/configurationsExecuterecipes as jobs
RECIPES BY ASSET TYPE
Recipes are organized by asset type, with each one supporting a specific stage of the model development workflow:Training recipes
Supervised fine-tuning configurations for model training
Data synthesis recipes
Configurations for creating synthetic datasets
Evaluator recipes
Settings for running model evaluations
Evaluation recipes
Configurations for defining evaluators and scoring logic