55 results
APRIL 30, 2025 / Gemma
Gemma 3's new features include vision-language capabilities and architectural changes for improved memory efficiency and longer context handling compared to previous Gemma models.
AUG. 22, 2024 / Gemma
Gemma 2 is a new suite of open models that sets a new standard for performance and accessibility, outperforming popular models more than twice its size.
AUG. 16, 2024 / Gemma
Use the Gemma language model to gauge customer sentiment, summarize conversations, and assist with crafting responses in near real-time with minimal latency.
FEB. 21, 2024 / AI
The Keras team is happy to announce that Gemma, a family of lightweight, state-of-the art open model...
AUG. 29, 2024 / Gemma
RecurrentGemma architecture showcases a hybrid model that mixes gated linear recurrences with local sliding window attention; a highly valuable feature when you're concerned about exhausting your LLM's context window.
SEPT. 5, 2024 / Gemma
PaliGemma, a lightweight open vision-language model (VLM), is able to take both image and text inputs and produce a text response, adding an additional vision model to the BaseGemma model.
JUNE 26, 2025 / Gemma
The Gemma 3n model has been fully released, building on the success of previous Gemma models and bringing advanced on-device multimodal capabilities to edge devices with unprecedented performance. Explore Gemma 3n's innovations, including its mobile-first architecture, MatFormer technology, Per-Layer Embeddings, KV Cache Sharing, and new audio and MobileNet-V5 vision encoders, and how developers can start building with it today.
MARCH 12, 2025 / Gemma
Gemma 3 is a new, advanced version of the Gemma open-model family featuring multimodality, longer context windows, and improved language capabilities, with various sizes and deployment options for developers to experiment.
AUG. 15, 2024 / Gemma
Learn more about the different variations of Gemma models, how they are designed for different use cases, and the core parameters of their architecture.
MARCH 12, 2025 / Gemma
ShieldGemma 2, built on Gemma 3, is a 4 billion parameter model that can be used as an input filter for vision language models or an output filter for image generation systems, and is designed to respond to a wide range of diverse and nuanced imagery.
