tigerlab-ai/tiger
Open source LLM toolkit providing RAG (TigerRAG), fine-tuning (TigerTune), and AI safety measurement (TigerArmor) capabilities.
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TigerLab is a comprehensive open source framework for trustworthy LLM development. It centers on three core modules: TigerRAG for retrieval-augmented generation and embedding pipelines, TigerTune for model fine-tuning, and TigerArmor for AI safety evaluation and measurement. The toolkit integrates data augmentation and classification capabilities to support end-to-end LLM application development.
Frequently asked
- What is tigerlab-ai/tiger?
- Open source LLM toolkit providing RAG (TigerRAG), fine-tuning (TigerTune), and AI safety measurement (TigerArmor) capabilities.
- Is tiger open source?
- Yes — tigerlab-ai/tiger is open source, released under the Apache-2.0 license.
- What language is tiger written in?
- tigerlab-ai/tiger is primarily written in Jupyter Notebook.
- How popular is tiger?
- tigerlab-ai/tiger has 403 stars on GitHub.
- Where can I find tiger?
- tigerlab-ai/tiger is on GitHub at https://github.com/tigerlab-ai/tiger.