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blog.google
developers.googleblog.com > litert-the-universal-framework-for-on-device-ai

LiteRT: The Universal Framework for On-Device AI

LiteRT: The Universal Framework for On-Device AI2+ 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…...

blog.google
developers.googleblog.com > en > a-guide-to-fine-tuning-functiongemma

A Guide to Fine-Tuning FunctionGemma

A Guide to Fine-Tuning FunctionGemma1+ 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…...

developers.googleblog.com
developers.googleblog.com > en > introducing-tunix-a-jax-native-library-for-llm-post-training

Introducing Tunix: A JAX-Native Library for LLM Post-Training

Introducing Tunix: A JAX-Native Library for LLM Post-Training3+ 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…...

developers.googleblog.com
developers.googleblog.com > en > introducing-langextract-a-gemini-powered-information-extraction-library

Introducing LangExtract: A Gemini powered information extraction library

Introducing LangExtract: A Gemini powered information extraction library5+ 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…...

developers.googleblog.com
developers.googleblog.com > en > build-train-recommender-system-keras-jax

Build and train a recommender system in 10 minutes using Keras and JAX

Build and train a recommender system in 10 minutes using Keras and JAX8+ 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…...