🔥 Fine-Tuning Gemma 4 on Your Own Dataset: A Step-by-Step Guide "What if you could turn a general-purpose AI into a domain expert — for under $5?" That's the promise of fine-tuning, and with Google's new Gemma 4 release, it's never been more accessible. In this guide, I'll walk you through the entire process: from preparing your dataset to deploying a fine-tuned model — all using serverless GPUs on Cloud Run. No dedicated hardware. No Kubernetes nightmares. Just code and cloud. ☁️ 📑 Table of Contents 🤔 Why Fine-Tune Gemma 4? 🏗️ Architecture Overview 📊 Step 1: Prepare Your Dataset ⚙️ Step 2: Set Up Your Environment 🔧 Step 3: Configure the Training 🚀 Step 4: Run Fine-Tuning on Cloud Run 📈 Step 5: Monitor & Evaluate 🌐 Step 6: Deploy Your Model 🔬 Before vs After: Real Results 💡 Pro Tips & Gotchas 🏁 Conclusion 🤔 Why Fine-Tune Gemma 4? Gemma 4 is Google's latest open model family, and it's incredible out of the box.…