- Google Developers Blog

2025年6月26日 / AI

Unlock deeper insights with the new Python client library for Data Commons

Google has released a new Python client library for Data Commons – an open-source knowledge graph that unifies public statistical data, and enhances how data developers can leverage Data Commons by offering improved features, support for custom instances, and easier access to a vast array of statistical variables – developed with contributions from The ONE Campaign.

2025年6月24日 / Gemini

强效助力您的笔记本电脑：全新 AI 优先的 Google Colab 现已面向所有用户开放

全新 AI 优先的 Google Colab 通过多项功能带来的改进提高工作效率，这些功能包括支持对话式编码的迭代查询、可实现自主工作流的新一代数据科学代理，以及轻松省心的代码转换等等。尝鲜者表示他们可借助 AI 优先的 Google Colab 加速推进 ML 项目，更快调试代码并轻松创建高质量可视化内容，其工作效率因此取得飞跃式提升。

Supercharge your notebooks: The new AI-first Google Colab is now available to everyone

2025年6月24日 / Kaggle

Using KerasHub for easy end-to-end machine learning workflows with Hugging Face

KerasHub enables users to mix and match model architectures and weights across different machine learning frameworks, allowing checkpoints from sources like Hugging Face Hub (including those created with PyTorch) to be loaded into Keras models for use with JAX, PyTorch, or TensorFlow. This flexibility means you can leverage a vast array of community fine-tuned models while maintaining full control over your chosen backend framework.

How to load model weights from SafeTensors into KerasHub for multi-framework machine learning

2025年6月23日 / Kaggle

Multilingual innovation in LLMs: How open models help unlock global communication

Developers adapt LLMs like Gemma for diverse languages and cultural contexts, demonstrating AI's potential to bridge global communication gaps by addressing challenges like translating ancient texts, localizing mathematical understanding, and enhancing cultural sensitivity in lyric translation.