Multimodal AI for diverse applications
Google Gemma is a versatile AI tool featuring multimodal capabilities that support a wide range of languages in developer-friendly sizes. It is optimized for mobile-first architecture, ensuring low-latency audio and visual understanding. The tool includes a text embedding model tailored for on-device applications and encoder-decoder models that balance quality and inference efficiency. A specific variant, Gemma 3, is designed for enhanced comprehension of medical text and images, aiming to streamline therapeutic development. Additionally, it incorporates safety content classifier models to identify harmful content in AI-generated text. Gemma also offers vision-language models for interpreting text and image inputs and a language model that utilizes dolphin audio to aid in the study of dolphin communication. Its novel recurrent architecture allows for faster processing of long sequences, while interpretability tools help researchers understand its inner workings. Furthermore, Gemma 2 models integrate retrieval techniques to ground responses in real-world data, making it a powerful and lightweight solution for various coding tasks.