Failure analysis machine learning
Failure analysis machine learning is a critical aspect of ensuring that machine learning models perform reliably in production environments. Understanding the common pitfalls that arise when deploying...
Generative pre-trained transformer (GPT)
Generative pre-trained transformer (GPT) has revolutionized the field of natural language processing (NLP) by enabling machines to generate coherent and contextually relevant text, mimicking human com...
Google AI for game developers
Revisit announcements from this year's Games Developer Conference (GDC). Explore how Gemma and Gemini models can aid in building AI experiences in games with the launch of Gemma 3, the Unity plugin, i...
Advancing the frontier of video understanding with Gemini 2.5
Gemini 2.5 marks a major leap in video understanding, achieving state-of-the-art performance on key video understanding benchmarks and being able to seamlessly use audio-visual information with code a...
Gemini 2.5 Models now support implicit caching
The rollout of implicit caching in the Gemini API expands on the existing explicit caching API, providing an "always on" caching system which offers automatic cost savings to developers using Gemini 2...
Create and edit images with Gemini 2.0 in preview
Gemini 2.0 Flash's image generation capabilities, now available in preview in Google AI Studio and Vertex AI, feature higher rate limits, enhanced visual quality, more precise text rendering, and more...
Gemini 2.5 Pro Preview: even better coding performance
An updated I/O edition preview of Gemini 2.5 Pro is being released for developers, featuring best-in-class front-end and UI development performance, ranking #1 on the WebDev Arena leaderboard, and sho...
Gemma explained: What’s new in Gemma 3
Gemma 3's new features include vision-language capabilities and architectural changes for improved memory efficiency and longer context handling compared to previous Gemma models....