In September 2023, OPEN AI unveiled two groundbreaking features to enhance engagement with its cutting-edge GPT-4 model: the capability to inquire about images and utilize voice commands for queries. Subsequently, in November 2023, OPEN AI introduced access to the VISION API.
Fast forward to April 2024, GPT-4 Turbo with Vision, integrating the powerful VISION capabilities, became accessible to developers through an API. This integration effectively merges these two pivotal functionalities into a single offering.
Read More: 4 Steps to Use Free GPT-4 Turbo with Copilot
New Opportunities with GPT-4 Turbo with Vision for Developers
- Enhanced Multimodal Capability: GPT-4 Turbo with Vision can simultaneously process image and text inputs, enabling true multimodal capability. Developers can build applications requiring image understanding and generation, such as computer vision, content creation, and diagnostic assistance, greatly expanding the scenarios for AI applications.
- Increased Development Efficiency: Through API calls, developers need not train complex vision models from scratch; they can simply leverage GPT-4’s visual capabilities to integrate powerful image understanding functionality into their applications. This significantly enhances development efficiency and reduces costs.
- Exploration of Innovative Applications: Multimodal AI opens up new frontiers for innovation. By combining images and text, developers can explore cutting-edge applications such as AR/VR, virtual fitting rooms, and smart homes, driving digital transformation in related industries.
- Expanded Business Opportunities: With the proliferation of GPT-4 Turbo with Vision, innovative applications and solutions based on multimodal AI will have broader commercial prospects. Developers can seize this opportunity to explore new business models and revenue streams.
- Flourishing Ecosystem: The release of GPT-4 Turbo with Vision will further promote the prosperity of the AI development ecosystem, attracting more developers, entrepreneurs, and capital investment, creating a virtuous cycle.
GPT-4 Turbo with Vision heralds a new era in multimodal AI, offering developers abundant opportunities and expediting AI’s reach and innovation across industries.
Impact on the Architectural Design Field
GPT-4 Turbo with Vision could introduce the following killer applications in architectural design:
- Intelligent Design Assistance: GPT-4 Turbo with Vision can understand text descriptions, sketches, and reference images provided by designers and provide design suggestions and optimization solutions based on its vast knowledge base. It can offer professional advice on spatial layout, material selection, detail handling, etc., improving design efficiency and creativity.
- Architectural Style Fusion: Designers can provide GPT-4 Turbo with Vision with images of different architectural styles for analysis and summarization of their characteristics. Then, based on design requirements, it can generate novel design solutions that integrate elements from multiple styles, greatly enriching the expressive power of architectural design.
- Environment-Integrated Design: By analyzing images of terrain, climate, and landscape at building sites, GPT-4 Turbo with Vision can provide guidance for designing buildings in specific environments, ensuring harmony between buildings and their surroundings. This is crucial for sustainable development and ecological architectural design.
- Intelligent Rendering and Visualization: GPT-4 Turbo with Vision can not only understand image inputs but also generate realistic image rendering effects based on text descriptions. Designers can use this capability to quickly visualize design concepts and optimize aesthetic experiences.
- Virtual and Augmented Reality Applications: Combining GPT-4’s multimodal capabilities, architectural design software can develop innovative applications such as VR/AR-based virtual exhibitions and remote collaboration, enhancing user experience.
GPT-4 Turbo with Vision seamlessly integrates artificial intelligence with architectural design, bringing disruptive innovation opportunities to the field. It is believed that more stunning killer applications will emerge in the future.
Why Traditional Non-multimodal GPT Models Fail to Deliver These Applications
Based on gathered information, traditional non-multimodal GPT models fail to deliver the above applications mainly due to the following reasons:
- Lack of Visual Understanding Capability: Traditional GPT models can only handle text input and cannot directly understand and analyze visual information such as images and videos. Therefore, they cannot support application scenarios that require image understanding, such as architectural design assistance, image rendering, and virtual reality.
- Limitations of Single Modality: A single text modality cannot provide a rich interactive experience, limiting the potential applications of AI in many fields. Multimodal capabilities combine various information such as vision and speech to provide users with more intuitive and immersive experiences.
- Inability to Utilize Visual Information: Many problems in various fields require the simultaneous use of text and visual information. Traditional GPT models cannot integrate information from these two modalities, limiting their analytical and decision-making abilities.
- Restricted Innovation Application Space: Multimodal AI opens up new frontiers for developers to explore applications such as AR/VR and smart homes. Traditional GPT models that rely solely on text cannot support the development of these cutting-edge applications.
- Inability to Meet Complex Demands: Some complex tasks require simultaneous processing of text and image inputs, such as web design and data visualization analysis. This is something traditional GPT models cannot handle.
All in all, models like GPT-4 Turbo with Vision, with multimodal capabilities, greatly expand the application scenarios and innovation space of AI by integrating visual and language capabilities, representing an inevitable trend in the development of artificial intelligence.
