TransLM: Large Language Model for Transportation Based on InternLM

TransLM is a groundbreaking large language model specifically designed for the transportation sector, built upon the powerful InternLM framework. This innovative model aims to revolutionize the industry by offering a comprehensive suite of capabilities, including accurate traffic predictions, intelligent consultation services, public transportation assistance, support for transportation planning and design, educational tools for traffic safety, and valuable assistance in transportation management and accident analysis. TransLM's sophisticated technical architecture leverages the advanced capabilities of the InternLM model, finely-tuned for transportation-specific tasks. By incorporating cutting-edge techniques like Retrieval Augmented Generation (RAG) and a robust refusal function, TransLM delivers reliable and relevant information while ensuring the safety and appropriateness of interactions. This model is a significant step forward in driving intelligent advancements within the transportation domain, empowering both businesses and individuals with innovative solutions to enhance efficiency, safety, and overall transportation experiences.