Adaptive ML Documentation home page
v0.7
Search...
⌘K
Ask AI
Contact Us
Contact Us
Search...
Navigation
Getting Started
Documentation
SDK Reference
Getting Started
Quickstart example
Platform
Concepts
Permissions, roles and teams
API Authentication
Use cases
Models
Inference
Make inference requests
Inference optimization tips
Evaluation
Evaluate Models
A/B Tests
Graders
Overview
AI Judges
Pre-built AI Judges
Reward servers
Recipe Grader
Recipes & Runs
Recipes
Runs
Writing custom recipes
Datasets
Upload datasets
Interactions
Overview
Feedback
Integrations
LangChain
Connect proprietary models
Deployment
Self-hosted
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
Was this page helpful?
Yes
No
Quickstart example
Assistant
Responses are generated using AI and may contain mistakes.