tigerlab-ai/tiger
Open Source LLM toolkit to build trustworthy LLM applications. TigerArmor (AI safety), TigerRAG (embedding, RAG), TigerTune (fine-tuning)
This toolkit helps developers build Large Language Model (LLM) applications that are tailored to specific needs and trustworthy. It takes raw text data, existing LLMs, and safety guidelines as input, and outputs more accurate, context-aware, and safer LLM applications. Developers working on AI systems for their organizations, who need to customize LLMs with proprietary data and ensure safety standards, would use this.
401 stars. No commits in the last 6 months.
Use this if you are a developer tasked with creating custom, trustworthy LLM applications that can retrieve information, be fine-tuned, or ensure safety.
Not ideal if you are a non-developer seeking a ready-to-use chatbot or an end-user tool for interacting with LLMs.
Stars
401
Forks
27
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Dec 02, 2023
Commits (30d)
0
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