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Kiln AI Docs

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# Kiln AI Docs

## Kiln AI Docs

- [Welcome to Kiln AI](https://docs.kiln.tech/readme.md): Rapid AI Prototyping and Dataset Collaboration Tool
- [Quickstart](https://docs.kiln.tech/docs/quickstart.md): Download our app for MacOS, Windows or Linux
- [Tasks](https://docs.kiln.tech/docs/tasks.md): What a task is, how to create one, and when to use single-turn or multi-turn
- [Models and AI Providers](https://docs.kiln.tech/docs/models-and-ai-providers.md): Connect to Ollama, OpenAI, OpenRouter, AWS, Azure, Vertex, Together, Fireworks, and more
- [End to End Project Demo](https://docs.kiln.tech/docs/end-to-end-project-demo.md): Video walkthrough of creating tasks, evals, fine-tuning, synthetic data gen, and more!
- [Optimizers](https://docs.kiln.tech/docs/optimizers.md): Tools to build the optimal AI system for your task
- [Fine Tuning](https://docs.kiln.tech/docs/fine-tuning.md): Create custom fine-tuned models for your use case
- [Fine Tuning Guide](https://docs.kiln.tech/docs/fine-tuning/fine-tuning-guide.md): Fine tuning 9 Models in 18 minutes
- [Train a Reasoning Model](https://docs.kiln.tech/docs/fine-tuning/guide-train-a-reasoning-model.md): Built a reasoning model, like o3 or R1, for your use case
- [Fine Tuning for Tool Use](https://docs.kiln.tech/docs/fine-tuning/fine-tuning-for-tool-use.md): Build fine-tuned models for calling a set of tools, like MCP
- [Evals](https://docs.kiln.tech/docs/evals-and-specs.md): Powerful tools to measure and optimize your AI systems
- [Evaluations](https://docs.kiln.tech/docs/evals-and-specs/evaluations.md): Evaluate the quality of your models/tasks using state-of-the-art evals
- [Eval Builder](https://docs.kiln.tech/docs/evals-and-specs/specifications.md): The Kiln Eval Builder combines evals, synthetic data generation, automatic judge prompt creation, and judge alignment into one easy to use feature
- [Judge Types](https://docs.kiln.tech/docs/evals-and-specs/judge-types.md): Score your evals with LLM judges, or with fast deterministic checks that cost nothing to run
- [LLM Judges](https://docs.kiln.tech/docs/evals-and-specs/llm-judges.md): Grade your task's output with a model and a rubric you write
- [Code Judges](https://docs.kiln.tech/docs/evals-and-specs/code-judges.md): Score your evals with a custom Python function
- [Evaluate RAG Accuracy: Q\&A Evals](https://docs.kiln.tech/docs/evals-and-specs/evaluate-rag-accuracy-q-and-a-evals.md): Know your Kiln Search tools find the right answer with RAG evals and synthetic Q\&A data
- [Evaluate Appropriate Tool Use](https://docs.kiln.tech/docs/evals-and-specs/evaluate-appropriate-tool-use.md): Test your model's ability to appropriately invoke tools
- [Tools & MCP](https://docs.kiln.tech/docs/tools-and-mcp.md): Connect powerful tools to your Kiln tasks
- [Code Tools](https://docs.kiln.tech/docs/tools-and-mcp/code-tools.md): Write a Python function that runs as a tool, and can call other tools
- [Connect to Existing Agents](https://docs.kiln.tech/docs/tools-and-m
…

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