NOVEMBER 20248 PropTechOutlookOPINIONIN MYTHE IMPACT OF GENERATIVE AI INREAL ESTATEBy Zach Aarons, Co-Founder and General Partner, MetaPropAs the performance, speed, and affordability of AI models continue to improve, and model access becomes more accessible via free and open-source platforms, the stage is set for an unprecedented surge of creativity and innovation resulting in add-on features to existing products and an explosion of new companies building generative AI applications for specific verticals.In this, we will delve deep into the realm of search and conversational applications, which can ultimately create a more personalized, efficient, and user-friendly conversation exchange and streamline real estate information retrieval processes.Exploring PossibilitiesWhat Tasks Can Text Models Do?· Generation - produce high-quality and coherent text that mimics human language.· Summarization - create a shorter version of a given text that retains its most important information.· Rewriting - rephrasing, restructuring, or translating a given text to create a new version that is more concise, readable, or suitable for a particular audience or purpose.· Extraction - identify and extract specific information or valuable insights from large amounts of unstructured data in a structured and organized manner.· Search/Similarity - quickly and accurately find the desired information without knowing the exact words or phrases to use.· Clustering - grouping similar items or entities from a given text data set to understand their relationships and connections.· Classification - categorizing text data into pre-defined labels or categories based on its content, such as topic, sentiment, or language.What Tasks Can Image Models Do?· Generation - produce high-quality photos, illustrations, 3D renderings, etc., at the professional design level.· Restoration - restore degraded or low-quality images, such as removing noise or artifacts from images.· Inpainting - fill in missing parts of an image, such as removing an object from an image and filling in the background.· Super-resolution - increase the resolution of low-resolution images, generating high-quality images with more detail.· Image synthesis - synthesizes images with specific properties, such as generating images of homes with different colors or styles.· Object detection - detect objects in images and classify them, such as identifying different types of floor plans, the presence of specific amenities, or property damage.Conversational ApplicationsChatbots and virtual assistants aren't new, but the new large language models are increasingly being used at the core of conversational AI or chatbots. They offer a greater understanding of conversation and context awareness than current conversational technologies to provide a more engaging and valuable experience. ¬Here are a few examples of the benefits:1. Improve Sales Process: Chatbots and virtual assistants can be programmed to answer common questions from potential buyers or renters, such as property details, pricing, and availability. This can free up a real estate agent's time to focus on complex issues and provide clients with a more efficient and personalized experience.2. Lead Generation: Chatbots can qualify leads by asking a series of questions to potential buyers or renters. This can help agents prioritize which leads to follow up with first and ensure they only spend time on qualified leads.3. Rent Payment: Conversational AI can help renters pay their rent online, set up automatic payments, and get reminders when rent is due.4. Maintenance Requests: Renters can use chatbots or virtual assistants to report maintenance issues or request repairs, helping them get faster and more efficient service.5. 24/7 Availability: Virtual assistants can answer questions
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