“gemma-4”
Function Calling and Structured Output for On-Device Agents with Gemma 4
Make on-device agents reliable with Gemma 4 function calling and constrained decoding. Learn structured output patterns, parse-error fallbacks, and how to build a trustworthy tool-calling loop with LiteRT-LM.
Gemma 4 on Arm: SME2 and the Optimized On-Device AI Stack
How Arm SME2 instructions and KleidiAI accelerate Gemma 4 on-device AI. Learn about the hardware-software stack delivering 5.5x prefill speedups and enabling privacy-first edge experiences on Android.
Running Gemma 4 On-Device in a Multi-Agent Flutter App
Lessons learned running Gemma 4 E4B inside a Flutter app with multi-agent concurrency. Learn the platform channel bridge pattern, engine singleton design, serialization, and the multimodal constraints that bite in production.
Building a High-Performance On-Device LLM Client in Flutter with Qualcomm QNN
Learn how to build a production-quality on-device LLM client in Flutter that runs Gemma 4 on Qualcomm NPUs. Covers Dart FFI vs MediaPipe delegates, model delivery workflows, self-healing registries, and streaming reasoning UX.
Blazing Fast On-Device GenAI with LiteRT-LM
A deep dive into the LiteRT-LM runtime powering on-device GenAI. Learn how multi-token prediction, memory-mapped embeddings, session management, and constrained decoding deliver blazing-fast Gemma 4 inference on mobile.
Bringing Agentic Skills to the Edge with Gemma 4
Learn how to give on-device apps true agentic capabilities with Gemma 4, LiteRT-LM, and Agent Skills. Build multi-step autonomous workflows that plan, call tools, and act entirely on the device.
On-Device Intelligence: Running Gemma 4 E4B on Flutter with LlamaDart
How to integrate Gemma 4 E4B directly into your Flutter applications using high-performance LlamaDart bindings for true on-device intelligence.