Translated data: TigerLab has released an open-source Python toolkit designed to bridge the gap between large language models (LLMs) and contextual information. The toolkit includes TigerRag, TigerTune, TigerDA, and TigerArmor, offering tools for retrieval augmentation, fine-tuning, data augmentation, and AI safety. TigerLab's goal is to promote AI customization and precision, providing developers with rich resources and examples to enhance the application of large language models to meet diverse needs.