# llm mobile frontend

Published articles for llm mobile frontend.

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## Presentation: Designing Fast, Delightful UX With LLMs for Mobile Frontends

DevFeed: [Presentation: Designing Fast, Delightful UX With LLMs for Mobile Frontends](<https://devfeed.tech/articles/presentation-designing-fast-delightful-ux-with-llms-for-mobile-frontends-59187.md>)

Original publisher: [Read original article](<https://www.infoq.com/presentations/llm-mobile-frontend/>)

Author: Balakrishnan Ramdoss

Published: 2026-09-24T09:24:00Z

Content type: article

Language: en

Sources: [InfoQ](<https://devfeed.tech/sources/infoq.md>)

Topics: [Mobile](<https://devfeed.tech/topics/mobile.md>), [Large Language Model](<https://devfeed.tech/topics/llm.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [server-driven-ui](<https://devfeed.tech/topics/server-driven-ui.md>), [Front end](<https://devfeed.tech/topics/frontend.md>), [Latency](<https://devfeed.tech/topics/latency.md>), [Local AI](<https://devfeed.tech/topics/local-ai.md>), [Back end](<https://devfeed.tech/topics/backend.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ai-ml-data-engineering](<https://devfeed.tech/tags/ai-ml-data-engineering.md>), [artificial-intelligence](<https://devfeed.tech/tags/artificial-intelligence.md>), [development](<https://devfeed.tech/tags/development.md>), [frontend](<https://devfeed.tech/tags/frontend.md>), [infoq](<https://devfeed.tech/tags/infoq.md>), [large-language-models](<https://devfeed.tech/tags/large-language-models.md>), [latency](<https://devfeed.tech/tags/latency.md>), [llm-mobile-frontend](<https://devfeed.tech/tags/llm-mobile-frontend.md>), [llms](<https://devfeed.tech/tags/llms.md>), [ml-data-engineering](<https://devfeed.tech/tags/ml-data-engineering.md>), [mobile](<https://devfeed.tech/tags/mobile.md>), [on-device-ai](<https://devfeed.tech/tags/on-device-ai.md>), [optimize](<https://devfeed.tech/tags/optimize.md>), [patterns](<https://devfeed.tech/tags/patterns.md>), [presentation](<https://devfeed.tech/tags/presentation.md>), [privacy](<https://devfeed.tech/tags/privacy.md>), [qcon-san-francisco-2025](<https://devfeed.tech/tags/qcon-san-francisco-2025.md>), [qcon-software-development-conference](<https://devfeed.tech/tags/qcon-software-development-conference.md>), [server-driven-ui](<https://devfeed.tech/tags/server-driven-ui.md>), [transcripts](<https://devfeed.tech/tags/transcripts.md>), [ui](<https://devfeed.tech/tags/ui.md>), [ux](<https://devfeed.tech/tags/ux.md>)

### AI overview

A presentation on architecting production-grade AI conversational apps for mobile. It covers model latency, server-driven UI, Backend-for-Frontend patterns, multimodal interface rendering, prompt optimization for UI selection, and privacy-focused on-device AI.

### Source excerpt

Balakrishnan Ramdoss discusses how to architect production-grade, AI-powered conversational apps at scale. He explains how to overcome model latency, leverage server-driven UI and Backend-for-Frontend patterns to dynamically render multi-modal interfaces, optimize prompts for UI selection, and integrate low-latency, privacy-first on-device AI for mobile applications. By Balakrishnan Ramdoss