News
LiteRT: The Universal Framework for On-Device AI
2+ hour, 17+ min ago (795+ words) At Google I/O "25, we shared a preview of this evolution: a high-performance runtime designed specifically for advanced hardware acceleration. Today, we are excited to announce that these advanced acceleration capabilities have fully graduated into the LiteRT production stack, available…...
A Guide to Fine-Tuning FunctionGemma
1+ week, 5+ day ago (667+ words) In the world of Agentic AI, the ability to call tools is what translates natural language into executable software actions. Last month, we released FunctionGemma, a specialized version of our Gemma 3 270M model explicitly fine-tuned for function calling. It is designed…...
Introducing Tunix: A JAX-Native Library for LLM Post-Training
3+ mon, 4+ week ago (336+ words) For developers and researchers in the JAX ecosystem, the path from a pre-trained model to a fully aligned, production-ready LLM just got a lot simpler. Today, we're excited to introduce Tunix, a new open-source, JAX-native library built specifically for LLM…...
Introducing LangExtract: A Gemini powered information extraction library
5+ mon, 4+ week ago (304+ words) Today, we're excited to introduce LangExtract, a new open-source Python library designed to empower developers to do just that. LangExtract provides a lightweight interface to various LLMs such as our Gemini models for processing large volumes of unstructured text into…...
Build and train a recommender system in 10 minutes using Keras and JAX
8+ mon, 2+ week ago (342+ words) Today, we are excited to announce the launch of Keras Recommenders, a new library that puts state-of-the-art recommendation techniques at your fingertips. To help developers create performant and accurate recommender systems, Keras Recommenders (KerasRS) contains a set of APIs with…...