Own your AI: Learn how to fine-tune Gemma 3 270M and run it on-device

Google DeepMind demonstrates how to fine-tune Gemma 3 270M, a compact AI model, to create custom applications that run directly on users' devices. Using techniques like QLoRA for efficient training and quantization to reduce the model size to under 300MB, developers can customize the model for specific tasks like text-to-emoji translation in under an hour. The process involves training on custom datasets, optimizing the model, and deploying it in web browsers using WebGPU technology for fast, private, offline-capable AI applications.