LLaVA-Plus builds upon leading vision-language foundations to deliver an agent capable of interpreting and reasoning over multiple images simultaneously. It integrates assembly learning and vision-language planning to perform complex tasks such as visual question answering, step-by-step problem-solving, and multi-stage inference workflows. The framework offers a modular plugin architecture to connect with various LLM backends, enabling custom prompt strategies and dynamic chain-of-thought explanations. Users can deploy LLaVA-Plus locally or through the hosted web demo, uploading single or multiple images, issuing natural language queries, and receiving rich explanatory answers along with planning steps. Its extensible design supports rapid prototyping of multimodal applications, making it an ideal platform for research, education, and production-grade vision-language solutions.
