So far, running LLMs has required a large amount of computing resources, mainly GPUs. Running locally, a simple prompt with a typical LLM takes on an average Mac ...

This is a small rag project that can split revit api and make the databse to rag token need to get file content which you save as the user input : query: 创建结构柱 retrieve the use input ust prompt ...