- Google Developers Blog

2025년 6월 26일 / 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.

2025년 6월 24일 / Gemini

노트북 강화: 이제 누구나 새로운 AI 우선 Google Colab 사용 가능

새로운 AI 우선 Google Colab은 대화형 코딩을 위한 반복 쿼리, 자율 워크플로를 위한 차세대 Data Science Agent, 손쉬운 코드 변환 같은 기능의 개선을 통해 생산성을 향상시킵니다. 얼리 어답터들은 ML 프로젝트를 가속화하고, 코드를 더 빠르게 디버깅하며, 고품질 시각화를 손쉽게 생성하는 등 생산성을 대폭 끌어올릴 수 있었다고 전합니다.

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

2025년 6월 24일 / 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

2025년 6월 23일 / 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.