ViperGPT stands for Visual Inference via Python Execution for Reasoning. It's a framework that combines the powers of code-generation models with vision-and-language models to answer any given query. Essentially, it leverages an API to access different modules, which it then composes into Python code for execution. This approach requires no additional training, making it a straightforward method for generating results from complex visual and language inputs.

The core idea behind ViperGPT is to break down the process of visual reasoning into manageable subroutines that can be dynamically assembled based on the query at hand. By generating Python code to interface with pre-existing models and tools, ViperGPT can produce accurate and understandable responses to a wide range of open-world queries. This method of composition over end-to-end training offers a unique blend of flexibility and power, allowing for sophisticated visual inference without the need for exhaustive dataset-specific training.

ViperGPT's innovative approach represents a significant step forward in the field of visual question answering (VQA). It opens up new possibilities for how we can utilize and integrate the capabilities of different AI models to solve complex tasks that involve both understanding images and processing natural language queries.