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Kiln is an open source platform designed to help developers build, evaluate, and deploy AI-powered applications with greater structure and reliability. It provides a unified environment for managing prompts, datasets, and evaluation workflows, allowing teams to iterate on AI behavior in a controlled and measurable way. Kiln emphasizes reproducibility, enabling users to track changes to prompts and models while comparing outputs across different configurations. Kiln also supports systematic testing of AI systems by defining evaluation criteria and running experiments to assess performance over time. Its workflow-oriented approach helps teams move from experimentation to production by organizing assets and results in a consistent format. It is particularly useful for teams working with large language models who need visibility into how changes impact outputs and overall system quality.
Features
- Prompt and dataset management for structured AI development
- Built-in evaluation workflows to test model outputs
- Experiment tracking for comparing model and prompt changes
- Reproducible pipelines for consistent AI behavior analysis
- Collaboration-friendly structure for teams working on AI systems
- Support for deploying and iterating on AI-powered applications
Project Samples
