Webtagr - Technology News Summarizer

Gemini 2.5 Flash Image: Google's AI Image Generation Breakthrough

2025-08-26

Google unveiled Gemini 2.5 Flash Image, a state-of-the-art image generation and editing model. It allows for blending multiple images, maintaining character consistency for richer storytelling, making precise transformations using natural language, and leveraging Gemini's world knowledge for image generation and editing. Priced at $30.00 per 1 million output tokens (approximately $0.039 per image), it's accessible via the Gemini API and Google AI Studio for developers, and Vertex AI for enterprises. Google AI Studio's 'build mode' has also been significantly updated to streamline app creation. Key features include character consistency, prompt-based image editing, and native world knowledge, opening new possibilities in image generation and manipulation.

(developers.googleblog.com)

AI

Gemma 3 270M: A Tiny but Mighty AI Model for Custom Applications

2025-08-14

The Gemma family welcomes its newest member: Gemma 3 270M, a compact 270-million parameter AI model designed for task-specific fine-tuning. Inheriting the advanced architecture of the Gemma 3 series, it boasts strong instruction-following and text structuring capabilities, while consuming remarkably low power—just 0.75% battery usage for 25 conversations on a Pixel 9 Pro SoC. Its impressive instruction-following abilities shine in IFEval benchmarks, making advanced AI more accessible for on-device and research applications. Gemma 3 270M excels in high-volume, well-defined tasks like sentiment analysis and entity extraction and is ideal for scenarios requiring rapid iteration and deployment. Developers can leverage its small size for quick fine-tuning experiments, building fleets of specialized models to create efficient and cost-effective production systems.

(developers.googleblog.com)

AI

Gemini Embedding: Powering the Next Generation of AI Agents

2025-08-01

Since its release, Google's Gemini Embedding text model has seen rapid adoption by developers building advanced AI applications. Beyond traditional uses like classification and semantic search, it's crucial for 'context engineering,' providing AI agents with complete operational context. Companies like Box, re:cap, Everlaw, Roo Code, Mindlid, and Interaction Co. are already leveraging its power to improve accuracy, speed, and contextual awareness in their products. From boosting financial data analysis to enhancing legal discovery and powering AI assistants, Gemini Embedding's high performance and multilingual support are laying the foundation for the next generation of intelligent agents.

(developers.googleblog.com)

AI context engineering

Google URL Shortener Shutdown Announced

2025-07-25

Google is shutting down its URL shortening service, goo.gl, on August 25th, 2025. Starting August 23rd, 2024, some goo.gl links will display a notification page warning users of the impending shutdown. Developers are urged to migrate to alternative URL shortening services. goo.gl links generated through Google apps will continue to function.

(developers.googleblog.com)

Development

Gemini API Gets a Batch Mode for High-Throughput Workloads

2025-07-11

Google's Gemini API now offers a batch mode, an asynchronous endpoint ideal for high-throughput tasks where latency isn't critical. Submit large jobs, let the system handle processing, and retrieve results within 24 hours at a 50% discount compared to synchronous APIs. Perfect for pre-prepared data needing no immediate response, it offers cost savings, increased throughput, and simplified API calls. Reforged Labs uses it to process massive video ads, significantly improving efficiency and lowering costs. Get started easily with the Google GenAI Python SDK.

(developers.googleblog.com)

Development Asynchronous Processing

Google DeepMind Open-Sources GenAI Processors: Simplifying LLM Application Development

2025-07-11

Google DeepMind has released GenAI Processors, an open-source Python library designed to simplify the development of complex Large Language Model (LLM) applications. The library uses a Processor interface to abstract various data processing steps and handles multimodal input via asynchronous stream processing, enabling concurrent execution for improved responsiveness and efficiency. GenAI Processors integrates with the Gemini API and provides examples for building real-time applications such as live transcription and conversational agents.

(developers.googleblog.com)

Development Open Source Library

Gemma 3n: Powerful Mobile-First AI Model Released

2025-06-27

Gemma 3n, a powerful mobile-first multimodal AI model, is now fully released! Built on the innovative MatFormer architecture, it supports image, audio, video, and text inputs, running with incredibly low memory footprints (2GB for E2B and 3GB for E4B). Gemma 3n supports 140 languages for text processing and 35 languages for multimodal understanding, achieving an LMArena score exceeding 1300. Its efficient architecture and Per-Layer Embeddings technology enable outstanding performance across various tasks, offering developers unprecedented convenience and ushering in a new era for mobile AI.

(developers.googleblog.com)

AI

Google AI Studio: Supercharged AI App Development with Gemini 2.5 Pro

2025-05-21

Google AI Studio received a major update, integrating the Gemini 2.5 Pro model for significantly enhanced code generation. Developers can quickly build and deploy AI-powered web apps using simple text, image, or video prompts. The new version also incorporates multimodal models like Imagen, Lyria RealTime, and Veo, offering one-click deployment to Cloud Run, and convenient code version comparison and rollback. Plus, new native audio support and a URL Context tool enhance interactivity and information retrieval.

(developers.googleblog.com)

Development

Google Unveils Gemma 3n: A Lightweight, Multimodal AI Model for Mobile

2025-05-20

Google has released Gemma 3n, a new open model built on a groundbreaking architecture designed to bring powerful AI capabilities to mobile devices. Gemma 3n boasts lower memory usage and faster response times, supporting multimodal understanding (text, image, audio), and strong multilingual capabilities. Developers can access a preview via Google AI Studio and Google AI Edge to build applications leveraging Gemma 3n's features, including real-time speech transcription, translation, and image understanding. The model prioritizes privacy and works offline.

(developers.googleblog.com)

AI mobile AI

Gemini 2.5 Pro Preview (I/O Edition) Released Early: Enhanced Coding Capabilities

2025-05-06

Google has released an early preview of Gemini 2.5 Pro (I/O edition), boasting significantly enhanced coding capabilities, particularly in front-end and UI development. It's ranked #1 on the WebDev Arena leaderboard for generating aesthetically pleasing and functional web apps. Key improvements include video-to-code functionality, easier feature development, and faster concept-to-working-app workflows. Developers can access it via the Gemini API in Google AI Studio or Vertex AI for enterprise users. This update also addresses previous errors and improves function calling reliability.

(developers.googleblog.com)

AI

Gemma 3: Bringing State-of-the-Art AI to Your Desktop

2025-04-20

Gemma 3, a cutting-edge open-source AI model, initially required high-end GPUs. To enhance accessibility, new versions optimized with Quantization-Aware Training (QAT) dramatically reduce memory requirements while maintaining high quality. This allows running powerful models like the 27B parameter Gemma 3 on consumer-grade GPUs such as the NVIDIA RTX 3090. These optimized models are available on Hugging Face and Kaggle, enabling easy integration into various workflows.

(developers.googleblog.com)

AI Quantization-Aware Training

Google Unveils Gemini 2.5 Flash: A Controllable Reasoning AI Model

2025-04-17

Google has released Gemini 2.5 Flash, a new large language model featuring controllable reasoning capabilities. Building upon the popular 2.0 Flash, it significantly improves reasoning while prioritizing speed and cost-effectiveness. Developers can adjust a 'thinking budget' to balance quality, cost, and latency. The model automatically adjusts its thinking process based on prompt complexity, offering modes ranging from no thinking to intensive reasoning. Gemini 2.5 Flash excels on LMArena's Hard Prompts, boasting a superior price-to-performance ratio, making it one of the most cost-effective thinking models available.

(developers.googleblog.com)

AI Controllable Reasoning

Agent2Agent (A2A): A New Era of AI Agent Interoperability

2025-04-09

Google launches Agent2Agent (A2A), an open protocol enabling seamless collaboration between AI agents built by different vendors or using different frameworks. Supported by over 50 tech partners and service providers, A2A allows secure information exchange and coordinated actions, boosting productivity and lowering costs. Built on existing standards, A2A supports multiple modalities, prioritizes security, and handles long-running tasks. Use cases range from automating hiring processes (e.g., candidate sourcing and interview scheduling) to streamlining complex workflows across various enterprise applications. Its open-source nature fosters a thriving ecosystem of collaborative AI agents.

(developers.googleblog.com)

AI A2A protocol

Gemini 2.0 Flash: Google's Native Image Generation Model Enters Developer Experimentation

2025-03-12

Google's Gemini 2.0 Flash, a multimodal AI model boasting enhanced reasoning and natural language understanding, is now available for developer experimentation. It generates images from text, creates illustrated stories, allows for conversational image editing, and excels at rendering long text sequences clearly. Accessible via Google AI Studio and the Gemini API, Gemini 2.0 Flash promises exciting possibilities for developers building AI agents and visually rich applications.

(developers.googleblog.com)

AI AI Image Generation