Llama AI, developed by Meta, is a state-of-the-art generative AI model built for flexibility and efficiency. By utilizing advanced techniques in machine learning, Llama AI can be fine-tuned and adapted for diverse tasks such as conversational AI, content generation, language translation, and even coding assistance. Its open-source nature allows researchers and developers to customize the model and deploy it in various environments, making it a robust tool for both personal and commercial endeavors. Additionally, the handling of multimodal inputs enhances its usability in modern applications.

The MultiModal Real Estate AI Agent is a specialized assistant that ingests multimodal inputs—textual listings, photographs, floorplans, and location maps—to generate comprehensive property analyses. It leverages computer vision to extract features from images and LLM capabilities to interpret descriptions and neighborhood data. The agent estimates property value, identifies investment potential, and offers personalized suggestions based on user preferences. Through an interactive chat interface, users can ask follow-up questions, request comparisons between listings, and receive visual annotations on floorplans. This end-to-end solution streamlines the real estate search and decision process by combining data-driven insights with intuitive conversational guidance.