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Explore a collection of practical recipes and examples showcasing the power and versatility of Gemma for tasks like image captioning with PaliGemma, code generation with CodeGemma, and building chatbots with fine-tuned Gemma models.
5 sie 2024 · Developed by Google DeepMind and other teams across Google, Gemma is named after the Latin gemma, meaning precious stone. The Gemma model weights are supported by developer tools that promote innovation, collaboration, and the responsible use of artificial intelligence (AI).
Gemma is a collection of lightweight open source generative AI (GenAI) models designed mainly for developers and researchers. Gemma was created by the Google DeepMind research lab that also developed closed source Gemini, Google's generative AI chatbots.
Gemma models achieve exceptional benchmark results at its 2B and 7B sizes, even outperforming some larger open models. Framework flexible. With Keras 3.0, enjoy seamless compatibility with JAX, TensorFlow, and PyTorch, empowering you to effortlessly choose and switch frameworks depending on your task.
15 sie 2024 · Gemma is a family of lightweight, state-of-the art open models built from the same research and technology used to create the Gemini models. Different variations of Gemma are designed for different use cases and modalities, such as: Single modality (Text in, Text out) Specialization for coding use cases. Multi modality (Text and Image in, Text out)
21 lut 2024 · Gemma models share technical and infrastructure components with Gemini, our largest and most capable AI model widely available today. This enables Gemma 2B and 7B to achieve best-in-class performance for their sizes compared to other open models.
