Tag: Google

Detailed prompting techniques and best practices for various applications, including photorealistic scenes, stylized illustrations, product mockups, and more using Google's newly released Gemini 2.5 Flash Image; a natively multimodal model capable of generating, editing, and composing images using text, supporting capabilities like text-to-image, image editing, style transfer, and multi-image composition.

The Google Developer Program is rolling out major updates to make its tools and community more accessible and powerful. These enhancements include a new flexible monthly subscription tier, a centralized GDP Forum for collaboration, and increased Gemini CLI access for all members.

Apigee helps enterprises integrate large language models (LLMs) into existing API ecosystems securely and scalably, addressing challenges like authentication and authorization not fully covered by the evolving Model Context Protocol (MCP), and offering an open-source MCP server example that demonstrates how to implement enterprise-ready API security for AI agents.

Opal is a new experimental tool from Google Labs that helps you compose prompts into dynamic, multi-step mini-apps using natural language, removing the need for code, allowing users to build and deploy shareable AI apps with powerful features and seamless integration with existing Google tools.

Co-hosted by Ashley Oldacre and Christina Warren, People of AI podcast's Season 5 will focus on the builders in the space of AI, highlighting the unique journeys, challenges, and triumphs of these innovators.

Max's journey introduces LQRax, a JAX-native LQR solver, which exemplifies the growing JAX robotics ecosystem that includes tools like Brax, MJX, and JaxSim, highlighting the benefits of JAX for computational efficiency in optimal control and simulation, and for seamlessly integrating model-based and learning-based approaches.

The Gemini Embedding model enhances AI applications, particularly through context engineering, which is being successfully adopted by various organizations across industries to power context-aware systems, leading to significant improvements in performance, accuracy, and efficiency.

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.

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.

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.