Google unveils TxGemma, a specialized branch of its Gemma AI family, designed to accelerate drug discovery. These open-source models understand both text and molecular structures, enabling researchers to predict therapeutic properties, identify drug targets, and repurpose existing therapies. This initiative aims to revolutionize the lengthy and expensive process of drug development.
Google's Gemma 3 1B is a small language model (SLM) designed for mobile and web apps. It's only 529MB, enabling fast downloads and on-device AI. It works offline, ensuring privacy and reducing latency. Ideal for natural language interfaces, it's customizable via fine-tuning and offers significant performance improvements over its predecessor.
Google's Gemma 3 AI model marks a significant advancement, boasting enhanced problem-solving capabilities and remarkable efficiency. Operating on just a single GPU, it reduces energy consumption and cost, making advanced AI more accessible. Gemma 3's development promises to impact various industries, fostering innovation and potentially democratizing AI technology while raising important ethical considerations.
VentureBeat's Emilia David discussed Google's Gemma 3 AI model on CBS News. This model redefines AI by tackling complex challenges with unprecedented efficiency, requiring only a single GPU. It marks a significant leap in AI, democratizing access, accelerating research, and promoting sustainable practices, opening new application possibilities across various industries.
Mistral AI's new 24B-parameter model, Mistral Small 3.1, challenges established AI models with its efficiency, open-source nature, and multimodal capabilities. It runs locally on standard hardware, boasts a 128K token context window, and excels in benchmarks, rivaling Google's Gemma 3 and OpenAI's GPT-4o mini. It's available on Hugging Face and major cloud platforms.
Alphabet Inc. unveils Gemma 3, a family of open, lightweight, and state-of-the-art AI models built on the same research as Gemini 2.0. These models prioritize efficiency, portability, and responsible development, offering various sizes (1B, 4B, 12B, and 27B) for diverse applications, even on resource-constrained devices, marking a significant step towards accessible and powerful AI.
Google's Gemma 3 is a powerful and efficient open-source LLM. It surpasses competitors in performance while using fewer resources. Gemma 3 boasts multilingual capabilities, advanced functionalities like function calling, and optimized quantum versions. It's a significant step forward in accessible and sustainable AI, built upon the advancements of Gemini 2.0.
Google's Gemma 3 series offers open-source AI models optimized for efficiency and on-device deployment. Ranging from 1B to 27B parameters, Gemma 3 boasts multilingual, multimodal capabilities, and outperforms competitors. It's designed for developers, supporting function calling, and structured output, making advanced AI accessible for mobile, desktop, and embedded systems.
Google unveils Gemma 3, a family of open, lightweight AI models designed for on-device performance, outperforming competitors like DeepSeek and Llama. Alongside, Google introduces ShieldGemma 2 for image safety and showcases Gemini-powered robotics advancements, emphasizing natural language understanding and spatial reasoning, all while prioritizing safety and responsible AI development.
Google releases Gemma 3, the latest 'open' AI model, boasting single-GPU efficiency and enhanced performance. It surpasses competitors in benchmarks, supports 35+ languages, and handles text, images, and short videos. With a focus on safety and accessibility, Gemma 3 aims to empower developers and researchers, furthering the democratization of powerful AI technology.
