What’s the best interface for gen AI? It all depends on the use case

by | Jun 28, 2024 | Technology

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The era of generative AI is here, ushered in by neural networks capable of generating new data, creating content and making informed decisions based on extensive training datasets.

But exactly what generative AI looks like is increasingly an open question: While ChatGPT ushered in a wave of similar chatbot-style, text-based interfaces, others including Hume AI and even OpenAI competitor Anthropic have taken alternative approaches.

Meanwhile, Google and Microsoft have augmented their search engines with gen AI and new gen AI content creation models such as Stable Diffusion, Midjourney, Runway’s Gen-3 Alphas and Luma AI’s Dream Machine have all offered even more interesting web-based interfaces and apps with dials, buttons, slider bars and other methods of controlling or influencing AI models to generate more specific outputs.

Thus, when it comes to gen AI user interfaces, while there may be some common elements — there is truly no “one size fits” all user interface paradigm. It’s all about fitting the gen AI model to the specific use case and desired output.

Countdown to VB Transform 2024

Join enterprise leaders in San Francisco from July 9 to 11 for our flagship AI event. Connect with peers, explore the opportunities and challenges of Generative AI, and learn how to integrate AI applications into your industry. Register Now

One thing is certain: to create impactful and user-friendly gen AI applications, product engineers and designers must consider their intended use case, user base and the questions they will have about how to make a model do what they wish.

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Don’t miss OpenAI, Chevron, Nvidia, Kaiser Permanente, and Capital One leaders only at VentureBeat Transform 2024. Gain essential insights about GenAI and expand your network at this exclusive three day event. Learn More

The era of generative AI is here, ushered in by neural networks capable of generating new data, creating content and making informed decisions based on extensive training datasets.

But exactly what generative AI looks like is increasingly an open question: While ChatGPT ushered in a wave of similar chatbot-style, text-based interfaces, others including Hume AI and even OpenAI competitor Anthropic have taken alternative approaches.

Meanwhile, Google and Microsoft have augmented their search engines with gen AI and new gen AI content creation models such as Stable Diffusion, Midjourney, Runway’s Gen-3 Alphas and Luma AI’s Dream Machine have all offered even more interesting web-based interfaces and apps with dials, buttons, slider bars and other methods of controlling or influencing AI models to generate more specific outputs.

Thus, when it comes to gen AI user interfaces, while there may be some common elements — there is truly no “one size fits” all user interface paradigm. It’s all about fitting the gen AI model to the specific use case and desired output.

Countdown to VB Transform 2024

Join enterprise leaders in San Francisco from July 9 to 11 for our flagship AI event. Connect with peers, explore the opportunities and challenges of Generative AI, and learn how to integrate AI applications into your industry. Register Now

One thing is certain: to create impactful and user-friendly gen AI applications, product engineers and designers must consider their intended use case, user base and the questions they will have about how to make a model do what they wish.

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