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Rapid AI Prototyping and Dataset Collaboration Tool |
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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.
- 🔍 Docs & Search (RAG): Add knowledge to your AI systems with Retrieval-Augmented Generation (RAG)
- 🤖 Agents Build agentic systems with multiple actors
- 🛠 Tools & MCP: Connect powerful tools to your Kiln tasks
- 🪄 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.).
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Quickstart | Download our app, setup a task, and run AI models. | quickstart.md | App3.png | |
Models and AI Providers | Manage which models you can use in Kiln. | models-and-ai-providers.md | providers3.png | |
Fine Tuning | Our guide for fine tuning AI models | fine-tuning-guide.md | tuning2.png | |
Evaluations | Evaluate the quality of your models/tasks | evaluations.md | Eval (1).png | |
Tools & MCP | Connect tools to Kiln | tools-and-mcp.md | MCP.png | |
Search Tools / RAG | Add documents and create search indexes | documents-and-search-rag.md | rag icon 2-2.png | |
Agents | Built multi-action agentic systems | agents.md | Agents-2.png | |
Synthetic Data Generation | Generate training data for models with AI | synthetic-data-generation.md | synth.png | |
Demo Project | End to end demo video showing how to use Kiln | end-to-end-project-demo.md | Video-2.png | |
Build a Reasoning Model | Create your own reasoning model, like o3 or R1 | guide-train-a-reasoning-model.md | distill.png | |
Python Library Setup | Install and use our python library. | python-library-quickstart.md | python3.png |