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Documentation
SDK Reference
.
  • Getting Started
  • Quickstart example
Platform
  • Overview
  • API Authentication
  • Permissions, roles and teams
  • Use cases
  • Models
  • Feedback
  • Interactions
Inference and Feedback
  • Make inference requests
  • Log feedback
Datasets
  • Upload datasets
Evaluation
  • AI Judge
  • A/B Tests
Fine-tuning
  • Adapt a model
  • Score with a reward server
Custom Recipes
  • Introduction
  • Write a recipe
  • Define a config
  • Launch a recipe
  • Model loading guide
  • Dataset loading guide
  • Judges & scoring guide
  • Model training guide
Integrations
  • Connect proprietary models
  • LangChain
Deployment
  • Self-hosted
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Getting Started

Welcome to the Adaptive Engine documentation!

Adaptive Engine allows you to continuously evaluate and adapt models with synthetic data and production feedback to surpass frontier performance.

Quickstart

Quickly get started with the Adaptive Engine with an end-to-end example.

Make inference requests

Generate your first completion from a deployed model

Log feedback

Log feedback for a model’s output

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