Testing Google's New Open-Source Models – Gemma 3: Is It Worth the Hype? 🤔🔥 скачать в хорошем качестве

Testing Google's New Open-Source Models – Gemma 3: Is It Worth the Hype? 🤔🔥

Google Unveils GEMMA 3 – The AI Model Redefining Performance and Efficiency Google has launched GEMMA 3, a next-generation AI model designed to outperform larger models while running efficiently on smaller devices, including GPUs, TPUs, and even low-power hardware. GEMMA 3 features advanced multimodal capabilities, allowing it to process text, images, and videos with the SigLIP vision encoder. It also supports a massive 128,000-token context window while optimizing memory usage. With models scaling up to 27 billion parameters, GEMMA 3 ensures exceptional performance through cutting-edge techniques like local-to-global attention layers and quantization for reduced memory consumption. It also offers broad platform support, including Hugging Face, Vertex AI, and Google Cloud. 🔍 Key Highlights: 🔹 DeepMind's GEMMA 3 delivers high efficiency and top-tier performance 🔹 Outperforms larger AI models while running on compact devices like GPUs, TPUs, and Jetson Nano 🔹 Features 128K token context window, SigLIP vision encoder, and memory-efficient quantization techniques 🔗 Resources from the tutorial: https://blog.google/technology/develo... https://aistudio.google.com https://huggingface.co/google/gemma-3... https://huggingface.co/google/gemma-3... #الذكاء_الاصطناعي #GEMMA3 #Google