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Updated: May 24, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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Towards a World Wide Web powered by generative AI.

Nouar AlDahoul1, Joseph Hong1, Matteo Varvello2

  • 1Computer Science, New York University Abu Dhabi, Abu Dhabi, United Arab Emirates.

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|February 28, 2025
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Summary
This summary is machine-generated.

Generative Artificial Intelligence (AI) can create high-quality web images using webpage context. While in-browser generation is challenging, AI shows promise for tasks like repairing broken webpages and enhancing privacy.

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Area of Science:

  • Computer Science
  • Web Technologies
  • Artificial Intelligence

Background:

  • Generative Artificial Intelligence (AI) has rapidly advanced, producing diverse media content.
  • AI is increasingly used in web development for content creation.
  • The potential for AI-driven image generation within web browsers is largely unexplored.

Purpose of the Study:

  • To investigate the feasibility and quality of generative AI for web image creation.
  • To develop and evaluate a tool simulating AI-powered web image generation.
  • To explore client-side and server-side implications of generative AI on the World Wide Web.

Main Methods:

  • Developed WebDiffusion, a novel tool simulating Stable Diffusion for web image generation.
  • Evaluated 409 AI-generated images from 60 webpages using crowdsourced opinions.
  • Assessed both client-side and server-side generative AI capabilities.

Main Results:

  • Generative AI can produce relevant, high-quality web images by leveraging contextual webpage information.
  • Manual prompt engineering by designers is not always necessary for pertinent image generation.
  • Direct in-browser image generation is computationally intensive, requiring high-end GPUs.

Conclusions:

  • Generative AI holds significant potential for future web image creation and manipulation.
  • AI-powered image generation can be beneficial for specific web applications like broken link repair and privacy enhancement.
  • Further research is needed to overcome computational challenges for widespread in-browser AI image generation.