Privacy-first in-browser Generative AI web apps: offline-ready, future-proof, standards-based
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Maxim Salnikov
Microsoft
App Innovation Business Lead
More and more developers intend to integrate Generative AI features into their applications. Until now, this path has practically always led to the cloud—but it doesn’t have to be like that! Currently, various promising approaches exist to running AI models directly on the user’s computer. With WebLLM and Chromium’s new Prompt API, we can now bring Large Language Models to your Angular app: locally and offline-capable. The W3C’s Web Neural Network API (WebNN) will grant AI models access to the device’s Neural Processing Unit (NPU). The advantages of these approaches are obvious: Locally executed AI models are available offline, the user data does not leave the device, and all this is even free of charge thanks to open-source models. In this talk, Christian Liebel, Thinktecture’s representative at W3C, will present the approaches to make your single-page app smarter. We will discuss use cases and show the advantages and disadvantages of each solution.
World Congress 2025
Maxim Salnikov
Microsoft
App Innovation Business Lead
Jan Curn
Apify
Founder and CEO
Nathaniel Okenwa
Twilio
Team Lead
Gian Marco Iodice
Arm
Engineering Lead for Generative AI