Kiln AI Docs
Kiln Website
  • Welcome to Kiln AI
  • Docs
    • Quickstart
    • Models and AI Providers
    • Synthetic Data Generation
    • Fine Tuning Guide
    • Evaluations
    • Guide: Train a Reasoning Model
    • Reasoning & Chain of Thought
    • Prompts
    • Reviewing and Rating
    • Collaboration
    • Organizing Datasets
    • Structured Data / JSON
    • Keyboard Shortcuts
    • Privacy
    • Repairing Responses
    • Troubleshooting & Logs
    • Productionizing Kiln
    • Contact Us
  • Developers
    • Python Library Setup
    • Rest API
    • Kiln Data Model
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Welcome to Kiln AI

Rapid AI Prototyping and Dataset Collaboration Tool

NextQuickstart

Last updated 2 months ago

Kiln AI is the easiest tool for:

  • 🎛️ Fine Tuning: Zero-code fine-tuning for Llama, GPT-4o, and more. Automatic serverless deployment of models.

  • 📊 Evals: Evaluate the quality of your models/tasks using state of the art evaluators.

  • 🤖 Synthetic Data Generation: Generate training data with our interactive visual tooling.

  • 🧠 Reasoning Models: Train or distill your own custom reasoning models.

  • 🤝 Team Collaboration: Git-based version control for your AI datasets. Intuitive UI makes it easy to collaborate with QA, PM, and subject matter experts on structured data (examples, prompts, ratings, feedback, issues, etc.).

Jump right in

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Quickstart

Download our app, setup a task, and run AI models.

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Models and AI Providers

Manage which models you can use in Kiln.

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Fine Tuning

Our guide for fine tuning AI models

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Build a Reasoning Model

Create your own reasoning model, like o3 or R1

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Evaluations

Evaluate the quality of your models/tasks

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Synthetic Data Generation

Generate training data for models with AI

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Python Library Setup

Install and use our python library.