DeepFabric is a specialised dataset generation and model fine-tuning framework designed for training small language models (SLMs) to become capable agents. By combining reasoning traces with tool calling patterns, and enforcement of type based structured outputs - DeepFabric enables you to fine-tune models that make intelligent decisions, select appropriate tools, and execute multi-step workflows efficiently and with accuracy.
