# Oumi

## Docs

- [OUMI ADMINISTRATION](https://docs.oumi.ai/admin.md): Manage platform settings, access, billing, and operations
- [API KEY MANAGEMENT](https://docs.oumi.ai/admin/api-keys.md): API key management
- [OUMI BILLING](https://docs.oumi.ai/admin/billing.md): View & manage your organization’s billing & usage details.
- [MONITORING](https://docs.oumi.ai/admin/monitoring.md): Track job progress and status in Oumi
- [ORGANIZATION & PROJECTS](https://docs.oumi.ai/admin/org-projects.md): Setting up your organization & project
- [PERMISSIONS](https://docs.oumi.ai/admin/permissions.md): Manage users and roles within your organization
- [QUOTAS](https://docs.oumi.ai/admin/quotas.md): View and manage usage limits across your organization
- [TROUBLESHOOTING & ERRORS](https://docs.oumi.ai/admin/troubleshooting-errors.md): Common issues, error responses, and how to resolve them
- [USER MANAGEMENT](https://docs.oumi.ai/admin/users.md): Manage users and roles within your organization
- [OUMI DATASETS](https://docs.oumi.ai/guides/datasets.md): Upload, generate, and validate datasets in Oumi
- [ADDING RAW FILES](https://docs.oumi.ai/guides/datasets/add-files.md): Uploading raw files to Oumi
- [ANALYZE DATASETS](https://docs.oumi.ai/guides/datasets/analyze.md): Measure, track, and improve the quality of your datasets in Oumi
- [CREATE DATASETS](https://docs.oumi.ai/guides/datasets/create.md): Bringing your datasets into the Oumi Platform
- [DATA EXPLORER](https://docs.oumi.ai/guides/datasets/exploring.md): Exploring & validating your datasets
- [NEXT STEPS](https://docs.oumi.ai/guides/datasets/next-steps.md): What to do after creating training data
- [RECIPES](https://docs.oumi.ai/guides/datasets/recipes.md): Use recipes to quickly create and add datasets in Oumi
- [DEPLOYMENT OPTIONS](https://docs.oumi.ai/guides/deployment.md): Export and serve your trained model for production use
- [CLOUD INFERENCE](https://docs.oumi.ai/guides/deployment/cloud-inference.md): Run scalable inference with Oumi in the cloud
- [EXPORTING YOUR MODEL](https://docs.oumi.ai/guides/deployment/exporting-models.md): Export trained models from Oumi for deployment and inference
- [LOCAL INFERENCE](https://docs.oumi.ai/guides/deployment/local-inference.md): Running your trained model on your own hardware
- [NEXT STEPS](https://docs.oumi.ai/guides/deployment/next-steps.md): Where to go from here
- [EVALUATE MODEL](https://docs.oumi.ai/guides/evaluations.md): Determine how well your model performs and identify failure modes
- [DIAGNOSING FAILURE MODES](https://docs.oumi.ai/guides/evaluations/failure-modes.md): Identify patterns in your model results
- [NEXT STEPS](https://docs.oumi.ai/guides/evaluations/next-steps.md): What to do after model evaluation
- [EVALUATION RECIPES](https://docs.oumi.ai/guides/evaluations/recipes.md): Making evaluations consistent and repeatable
- [UNDERSTANDING RESULTS](https://docs.oumi.ai/guides/evaluations/results.md): How to read the results from your evaluation run
- [RUNNING EVALUATIONS](https://docs.oumi.ai/guides/evaluations/running.md): Using the Oumi Builder to perform model evaluation
- [EVALUATORS](https://docs.oumi.ai/guides/evaluators.md): Define and manage model evaluators
- [DEFINING EVALUATORS](https://docs.oumi.ai/guides/evaluators/defining.md): Establish criteria for measuring model performance
- [NEXT STEPS](https://docs.oumi.ai/guides/evaluators/next-steps.md): Apply and iterate with evaluators
- [EVALUATOR RECIPES](https://docs.oumi.ai/guides/evaluators/recipes.md): Save and reuse evaluator configurations
- [EXAMPLES](https://docs.oumi.ai/guides/examples.md): Explore a curated set of prompts that demonstrate Oumi’s capabilities
- [OVERVIEW](https://docs.oumi.ai/guides/intro.md): Introducing the Oumi workflow
- [OUMI AGENT](https://docs.oumi.ai/guides/intro/agent.md): Build, fine-tune, and evaluate custom AI models with guided assistance
- [NEXT STEPS](https://docs.oumi.ai/guides/intro/next-steps.md): Where to go from here
- [RECIPES](https://docs.oumi.ai/guides/intro/recipes.md): Reusable configurations for end-to-end model workflows
- [WELCOME TO OUMI](https://docs.oumi.ai/guides/overview.md): Custom AI in hours not months
- [OUMI QUICKSTART](https://docs.oumi.ai/guides/quickstart.md): Learn how to quickly create your first custom AI model
- [SYNTHETIC DATA GENERATION](https://docs.oumi.ai/guides/synthesis.md): Generate high quality synthetic datasets at scale
- [HOW IT WORKS](https://docs.oumi.ai/guides/synthesis/how-it-works.md): Creating synthetic datasets with Oumi
- [NEXT STEPS](https://docs.oumi.ai/guides/synthesis/next-steps.md): Getting the most out of Oumi's data synthesis capabilities
- [DATA SYNTHESIS RECIPES](https://docs.oumi.ai/guides/synthesis/recipes.md): Reusable recipes for generating structured synthetic datasets.
- [TRAIN MODEL](https://docs.oumi.ai/guides/training.md): Fine-tune your model to improve its task-specific performance.
- [RUNNING TRAINING](https://docs.oumi.ai/guides/training/launch-jobs.md): Easily launch fine-tuning jobs
- [MODEL SELECTION](https://docs.oumi.ai/guides/training/model-selection.md): Choosing the right base model for performance and efficiency
- [NEXT STEPS](https://docs.oumi.ai/guides/training/next-steps.md): What to do after fine-tuning
- [ON-POLICY DISTILLATION](https://docs.oumi.ai/guides/training/on-policy-distillation.md): Train student models via knowledge distillation
- [TRAINING RECIPES](https://docs.oumi.ai/guides/training/recipes.md): Using recipes to streamline model training in Oumi
- [REFERENCE](https://docs.oumi.ai/reference.md): Detail technical definitions & configurations
- [KEY TERMS](https://docs.oumi.ai/reference/key-terms.md): Important Oumi definitions and concepts
- [PROMPT LIBRARY](https://docs.oumi.ai/reference/prompts.md): Examples for building, evaluating, and managing models with the Oumi Agent.
- [EVALUATIONS](https://docs.oumi.ai/reference/recipes/evaluations.md): Evaluation recipes
- [EVALUATORS](https://docs.oumi.ai/reference/recipes/evaluators.md): Evaluator recipes
- [SYNTHESIS](https://docs.oumi.ai/reference/recipes/synthesis.md): Synthesis recipes
- [TRAINING](https://docs.oumi.ai/reference/recipes/training.md): Training recipes
- [DATASET RECIPE SCHEMA DEFINITIONS](https://docs.oumi.ai/reference/schema/datasets.md): Schema definitions for synthesizing datasets
- [EVALUATION RECIPE SCHEMA DEFINITIONS](https://docs.oumi.ai/reference/schema/evaluations.md): Schema definitions for creating evaluations
- [EVALUATOR RECIPE SCHEMA DEFINITIONS](https://docs.oumi.ai/reference/schema/evaluators.md): Schema definitions for configuring evaluators
- [MODEL TRAINING RECIPE SCHEMA DEFINITIONS](https://docs.oumi.ai/reference/schema/models.md): Schema definitions for training models
- [SUPPORTED MODELS](https://docs.oumi.ai/reference/supported-models.md): Models available for training and inference in Oumi