In this work, we introduce an attribute-anchored textual prompt learning method for vision-language models, named ATPrompt. This method extends the learning space of soft prompts from the original one ...

code2prompt is a code ingestion tool that streamline the process of creating LLM prompts for code analysis, generation, and other tasks. It works by traversing directories, building a tree structure, ...