Data as of Jul 25, 2026 · Based on 2,718,867 AI responses across 9,511 prompts · See how Parse measures this
Deepfabric is an open-source framework for training and shaping the behavior of large language models by configuring prompts, conversation settings, tools, and generation parameters. It uses a configuration-driven approach with inheritance and defaults to manage LLM settings, topics, datasets, and prompts. The project provides tooling and examples (CLI, documentation) to build, test, and iterate AI agent behaviors in a repeatable way.
Parse Score
Generation of synthetic prompts and datasets for testing, training, and evaluating LLM applications.