Adaptive ML Documentation home page
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Navigation
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Getting Started
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
Inference optimization tips
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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