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Home - Google Developers Blog

Gemma AI AI Homepage Announcements

Introducing Gemma 3 270M: The compact model for hyper-efficient AI

Google's new Gemma 3 270M is a compact, 270-million parameter model offering energy efficiency, production-ready quantization, and strong instruction-following, making it a powerful solution for task-specific fine-tuning in on-device and research settings.

Google Labs AI AI Homepage Announcements Problem-Solving

Meet Jules’ sharpest critic and most valuable ally

Jules' critic functionality addresses potential issues like subtle bugs and missed edge cases in AI-generated code by acting as a peer reviewer within the generation process. This "critic-augmented generation" means proposed code changes undergo adversarial review, allowing Jules to improve its output and ultimately deliver higher-quality, pre-reviewed code.

Gemini AI Cloud AI Homepage Announcements

Gemini CLI + VS Code: Native diffing and context-aware workflows

The latest Gemini CLI update provides a deep IDE integration within VS Code for intelligent, context-aware suggestions, and native in-editor diffing, allowing developers to review and modify proposed changes directly within the diff view for a more efficient workflow.

AI AI Homepage

Veo 3 Fast and new image-to-video capabilities

Google introduces Veo 3 Fast, an optimized model for speed and price, along with new image-to-video capabilities for both Veo 3 and Veo 3 Fast, enabling developers to efficiently create high-quality video content from text or still images, with varying pricing based on the model and audio inclusion, now available in the Gemini API.

Gemini AI AI Homepage Announcements

Introducing LangExtract: A Gemini powered information extraction library

LangExtract is a new open-source Python library powered by Gemini models for extracting structured information from unstructured text, offering precise source grounding, reliable structured outputs using controlled generation, optimized long-context extraction, interactive visualization, and flexible LLM backend support.


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