Google's New AI GEMMA 3 Outsmarts the Biggest Models While Running on a Calculator!

Google's new AI model, GEMMA 3, is designed to outperform larger models while running efficiently on smaller hardware like GPUs, TPUs, and even devices with limited power. Featuring advanced multimodal capabilities, GEMMA 3 can process text, images, and videos using its SigLIP vision encoder, while supporting a massive 128,000-token context window with reduced memory overhead. With models available in sizes up to 27 billion parameters, GEMMA 3 delivers exceptional performance through innovative techniques like local-to-global attention layers, quantization for smaller memory footprints, and broad compatibility with platforms such as Hugging Face, Vertex AI, and Google Cloud. 🔍 KEY TOPICS Google DeepMind introduces GEMMA 3, a powerful AI model designed for efficiency and performance GEMMA 3 outperforms larger models while running on smaller hardware like GPUs, TPUs, and Jetson Nano Innovative features include a 128,000-token context window, SigLIP vision encoder, and quantization for reduced memory use 🎥 WHAT'S INCLUDED How GEMMA 3 combines text, image, and video processing with impressive accuracy Why GEMMA 3's local-to-global attention layers drastically improve memory efficiency The role of platforms like Hugging Face, Vertex AI, and Google Cloud in simplifying GEMMA 3 deployment 📊 WHY IT MATTERS GEMMA 3 marks a major leap in AI technology, delivering powerful performance on affordable hardware and enabling developers to build efficient, high-performance AI systems with ease DISCLAIMER This video covers Google DeepMind's latest AI model, GEMMA 3, and its potential impact on AI development and deployment #AI #GEMMA3 #Google