About
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Think Reason Learn is an innovative, open-source Python library that fuses the power of large language models (LLMs) 
with interpretable machine learning. Developed at Vela Research in collaboration with Oxford University, it provides 
production-grade tools for building transparent decision-making systems—perfect for high-stakes domains like 
venture capital, healthcare, law, etc.

Key Features
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- **Explainable AI**: Every prediction comes with traceable reasoning paths, rules, or cluster descriptions.
- **Async-First Design**: Scalable LLM interactions with synchronous wrappers for flexibility.
- **Modular Algorithms**: Easily extend with new models under a unified interface.

Core Algorithms
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- **GPTree**: LLM-guided decision trees for dynamic feature generation.
- **RRF (Random Rule Forest)**: Transparent ensembles of LLM-generated YES/NO rules.

For in-depth papers and methodology, see our :doc:`/research` section.