useaitechdad

useaitechdad / explore-gemma4

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Source code, prompts, and outputs from the YouTube video Gemma 4: 8 Real-World Tests.

12
1
100% credibility
Found Apr 17, 2026 at 12 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
HTML
AI Summary

Demo app, prompts, and outputs for testing Google Gemma 4 AI models on tasks like coding, reasoning, and image analysis, plus an AI-maintained living wiki for the codebase.

How It Works

1
👀 Discover Gemma Tests

You stumble upon fun YouTube videos showing real-world challenges for a new smart AI called Gemma 4.

2
📥 Grab the Demo

Download the simple folder from the sharing site to try it yourself on your computer.

3
🚀 Start the App

Double-click the easy starter or open it in your web browser, and your personal AI playground comes to life.

4
🔗 Link AI Helper

Paste your free sign-up details from Google's AI site so the app can borrow smart thinking power.

5
🧪 Run Challenges

Choose a test like solving puzzles, reading images, or creating code, then watch the AI work its magic.

6
📖 Explore Living Guide

Check the auto-updating notebook that explains everything, keeping fresh as things change.

🎉 AI Wins Big

You're amazed by spot-on results on tough tasks, with your own always-current project guide ready to grow.

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Star Growth

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AI-Generated Review

What is explore-gemma4?

This repo delivers a single-file HTML demo app to test Gemma 4 models via Google AI Studio API, plus copy-paste code prompts for AI tasks like JSON extraction, function coding, reasoning puzzles, OCR on charts, and multi-file code generation. It includes real outputs from 8 real-world tests comparing Gemma variants against Gemini, solving the hassle of crafting effective code prompts for chatgpt or claude code prompts examples. Developers get a no-build launcher, model selector with thinking mode, and a portable Antigravity package for an LLM-maintained wiki that auto-syncs codebase docs.

Why is it gaining traction?

It stands out with battle-tested prompts—think python code prompts or vs code prompts—that aced surprises like chart reading and logic puzzles where Gemma outperformed expectations, unlike generic code github copilot setups. The LLM wiki hooks Antigravity users by linting docs for staleness post-changes, proposing fixes without silent edits, beating static readmes or code github markdown. Easy browser runs and full outputs make it a quick benchmark for code github ai experiments.

Who should use this?

AI researchers benchmarking open models against proprietary ones for code github cli or app tasks. Antigravity devs building repos who hate rotting docs and want slash-command workflows like /wiki-sync for living overviews. Prompt tinkerers refining code prompts github for kilo code prompts or roo code prompts in github python code flows.

Verdict

Skip unless you're deep into Gemma or Antigravity—12 stars and 1.0% credibility signal early immaturity despite solid test docs. Worth a 5-minute spin for the prompts if exploring code github online tools, but production users need more polish.

(178 words)

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