cd/entity/Gemma 4· home entities Gemma 4
grep -l @gemma 4 /news/*.json | wc -l → 104

@Gemma 4

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19:29
2026-05-23
dev.to
artificial-intelligence

AI-dy: On-Device Emergency First Aid with Gemma 4

AI-dy is an offline-first mobile first aid application that uses Google's Gemma 4 AI model entirely on-device, eliminating the need for internet connectivity. The app combines proactive education thro…

18:52
2026-05-23
dev.to
artificial-intelligence

Gemma 4 Runs on a Raspberry Pi. Let That Sink In.

The article announces that Google DeepMind's Gemma 4 E2B model, released on April 2, 2026, can run on a Raspberry Pi 5 with 8 GB of RAM using only 1.5 GB of memory at INT4 quantization. This capabilit…

17:44
2026-05-23
dev.to
artificial-intelligence

Gemma 4 on Android: Tricks for Faster On-Device Inference

Here is a factual summary of the article: The article provides technical guidance for optimizing on-device inference of the Gemma 4 E2B model on Android using the LiteRT-LM library, highlighting that…

17:23
2026-05-23
dev.to
artificial-intelligence

The Subconscious Powered by Edge AI

Remora is a privacy-first "Subconscious Social Network" app that uses Google's Gemma 4 AI model to analyze dreams entirely on a user's smartphone, ensuring no raw dream data is uploaded to the cloud. …

13:52
2026-05-23
dev.to
developer-tools

Stop Describing Your Bugs — Just Screenshot Them

BugLens is an AI-powered screenshot debugger built with Gemma 4 that allows developers to upload a screenshot of a bug or error message for instant analysis. The tool uses Gemma 4's multimodal capabil…

13:09
2026-05-23
dev.to
artificial-intelligence

Memoria - A Local AI Reading Companion Powered by Gemma 4

Memoria is a local AI reading companion powered by the Gemma 4 model that helps readers stay connected to books through features like spoiler-safe recaps, contextual Q&A, and text simplification. The …

10:23
2026-05-23
dev.to
artificial-intelligence

The Brutal Reality of Running Gemma 4 Locally

The article details the author's experience running Google's Gemma 4 models locally on a consumer laptop with an RTX 3050 (4GB VRAM), revealing a gap between Google's demo claims and real-world perfor…

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