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.

LensQuery offers a model-agnostic platform where users can select and engage with their favorite AI models. This application targets various use cases such as analyzing visual content, answering inquiries, and facilitating data-driven interactions. It's designed with user flexibility and data protection in mind, ensuring a versatile yet secure tool for AI-powered tasks. Whether it's for personal use or professional needs, LensQuery provides the necessary features and support to unlock the potential of modern AI technologies.