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The era of generative AI has arrived. This means the emergence of neural networks that can generate new data, create content, and make informed decisions based on extensive training data sets.
But what exactly generative AI looks like is becoming an increasingly open question. While ChatGPT has demonstrated a similar chatbot-style text-based interface, others, including Hume AI and even OpenAI competitor Anthropic, have taken alternative approaches.
Meanwhile, Google and Microsoft have added next-generation AI to their search engines, and next-generation AI content generation models like Stable Diffusion, Midjourney, Runway’s Gen-3 Alphas, and Luma AI’s Dream Machine are offering even more interesting web-based interfaces and apps that let you control or influence the AI models using dials, buttons, slider bars, and other methods to generate more specific results.
So while there may be some common elements when it comes to Gen AI user interfaces, there is no “one size fits all” user interface paradigm. It’s all about tailoring Gen AI models to your specific use case and desired output.
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One thing is certain: Creating powerful, user-friendly AI applications requires product engineers and designers to consider their intended use cases, their user base, and questions about how to make their models behave as desired.
VentureBeat will host a panel of experts discussing the future of AI at the VB Transform 2024 conference in San Francisco, July 9-11, 2024. The panel includes design, engineering, and product leaders from next-generation AI companies, including OpenAI, Microsoft, and Pika, as well as design, engineering, and product leaders from more traditional companies adopting the technology, including CapitalOne, Pinterest, Slack, eBay, Zendesk, and Wayfair. Participate.
Chatbots strive for simplicity.
ChatGPT on OpenAI
Launching the Gen AI era, ChatGPT’s streamlined design suggests versatility in functionality by focusing on a variety of task-specific tools. It offers features like outlining, planning, and productivity support, making it a comprehensive helper for a variety of needs.
Google Bard/Gemini
Google Bard (now known as Gemini) combines AI-driven insights with powerful search capabilities. The interface is sleek and modern, designed to improve productivity through contextual responsiveness. This clean layout is suitable for both casual users and professionals, providing detailed information quickly and efficiently. Integration with the Google search engine ensures users get accurate and relevant results.
Hugging Chat with Hugging Face
Hugging Chat provides a customizable interface for developers and researchers. It offers a wide range of tools for interacting with and fine-tuning AI models. Its modular design facilitates easy integration with a variety of platforms and emphasizes flexibility and user control. This customization allows users to tailor the interface to their specific needs, making it a powerful tool for those working on advanced AI projects.
Claude By Anthropic
Claude’s interface is aimed at technical users with coding and development tools. Anthropic, the company behind it, recently updated the interface in a novel way with “Artifacts,” a new feature that lets users check code compilation and even run entire programs with a chat interface.
Microsoft CoPilot
Microsoft Copilot is built directly into the Office suite, providing AI support within familiar applications. This seamless integration provides context-sensitive help and content creation without disrupting your workflow. Users benefit from suggestions and automation tools designed to improve productivity, all delivered within a seamless and cohesive user experience.
Pi by Inflection AI
Pi AI is a conversational agent focused on personal assistance and information retrieval. The clean, intuitive interface prioritizes text-based interactions to provide fast, relevant responses. This simplicity makes it an effective tool for everyday use, from scheduling to quickly gathering information.
Hume AI
Hume AI distinguishes itself with its Empathic Voice Interface (EVI), the first conversational AI with emotional intelligence. Unlike traditional chatbots, Hume AI uses voice interactions to understand and convey human emotions by analyzing intonation, pitch, pauses, and other voice features. This feature allows you to respond more naturally and empathetically.
In a public demo of Hume AI, the interface displays detected emotions in real time, visually representing the user’s emotional state. This advanced emotional understanding makes Hume AI ideal for applications that require nuanced interactions, such as customer support, personal interactions, and collaborative work. Led by CEO Alan Cowen, the startup aims to revolutionize AI interactions by incorporating emotional intelligence into core functionality.
Search engines and research tools
Ninja Tech
NinjaTech provides a streamlined interface for conducting academic and professional research. It includes advanced query and data analysis tools, making it ideal for in-depth research. The design focuses on efficiency and clarity, while supporting extensive data manipulation and visualization. This interface is ideal for users who require powerful research capabilities.
Embarrassment AI
Perplexity AI combines search engine functionality with AI-based insights. The clean, minimalist design provides concise and accurate answers to user queries. The platform also supports multimedia search, enhancing its usability for comprehensive research tasks. Users benefit from a simple interface that simplifies complex search requirements.
Content Creation
Luma AI’s Dream Machine
Luma AI’s Dream Machine is designed for visual creativity, providing tools for text-to-video and image-to-video creation. The interface is visually driven and focuses on ease of use. Users can quickly create and edit videos, making it a great tool for creative professionals seeking efficiency and quality.
Mid-Journey
MidJourney’s image creation interface offers extensive customization options. Intuitive sliders allow users to control style, weirdness, and variety for precise creative expression. The user-friendly design ensures a seamless experience, perfect for artists and designers who seek flexibility and control over their creations.
AI is calling
Suno AI focuses on AI-powered music creation with a simple interface for generating songs based on user prompts. It includes song descriptions, style selection, and instrument toggle options, making it accessible to users with varying levels of musical expertise. The platform emphasizes creativity and user-friendly interaction.
Weaving in and out of a variety of existing features and interfaces
Apple Intelligence in iOS 18
Apple AI features in iOS 18 provide advanced writing tools and personalization options directly within the operating system. The interface is simple and accessible, allowing users to easily create and edit text, create custom emoji, and personalize messages. These tools seamlessly integrate AI into the user experience to enhance everyday tasks.
Meta AI
Based on the company’s open-source Llama chatbot, Meta AI integrates social media dynamics and AI interactions. The platform focuses on community engagement and interactive content creation, allowing users to seamlessly create and share AI-powered posts. The design is visually appealing and incorporates social features to make it popular with younger audiences for its engaging and interactive approach.
In short, these AI services offer a variety of interfaces tailored to specific user needs, from conversational chatbots and advanced research tools to creative content generation and emotionally intelligent interactions. Each service offers unique capabilities that enhance user experience, productivity, and creativity.
Interface design classification
Looking at these different interfaces, it becomes clear that the future success of generative AI services depends on design and user experience.
The upcoming VB Transform 2024 conference will explore these topics further with a panel of experts discussing the cross-functional future of AI featuring leaders. We look forward to meeting you!
The convergence of design, UX, and cross-functional teamwork will shape the future of AI applications, delivering superior performance as well as user delight while adhering to ethical standards.
