uncase-ai/UNCASE
Open-source framework for turning expert knowledge into PII-free synthetic conversational data and production-ready LoRA adapters.
This project helps organizations in regulated industries like healthcare, finance, or legal, fine-tune specialized AI language models. It takes your expert knowledge, formatted as conversation blueprints (without any real sensitive data), and generates high-quality, privacy-compliant synthetic conversations. This allows you to train powerful custom AI models without ever exposing confidential information. It's designed for data privacy officers, compliance managers, or AI developers working with sensitive data.
Use this if you need to build custom AI models for highly regulated fields but cannot use real conversational data due to privacy concerns.
Not ideal if you are working with non-sensitive public data or do not require verifiable, privacy-auditable synthetic data generation.
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Language
Python
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Last pushed
Mar 05, 2026
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