Synthetic Dataset Generation with Faker
In this article, you will learn: • how to use the Faker library in Python to generate various types of synthetic data.
Gemini 2.5 Flash-Lite is now ready for scaled production use
Gemini 2.5 Flash-Lite, previously in preview, is now stable and generally available. This cost-efficient model provides high quality in a small size, and includes 2.5 family features like a 1 million-token context window and multimodality.
Beyond accelerators: Lessons from building foundation models on AWS with Japan’s GENIAC program
In 2024, the Ministry of Economy, Trade and Industry (METI) launched the Generative AI Accelerator Challenge (GENIAC)—a Japanese national program to boost generative AI by providing companies with funding, mentorship, and massive compute resources for foundation model (FM) development. AWS was selected as the cloud provider for GENIAC’s second cycle (cycle 2). It provided infrastructure …
25+ top gen AI how-to guides for enterprise
The best way to learn AI is by building. From finding quick ways to deploy open models to building complex, multi-agentic systems, it’s easy to feel overwhelmed by the sheer volume of resources out there. To that end, we’ve compiled a living, curated collection of our 25+ favorite how-to guides for Google Cloud. This collection …
Mixture-of-recursions delivers 2x faster inference—Here’s how to implement it
Mixture-of-Recursions (MoR) is a new AI architecture that promises to cut LLM inference costs and memory use without sacrificing performance.Read More
A Top NASA Official Is Among Thousands of Staff Leaving the Agency
Makenzie Lystrup’s departure from NASA’s Goddard Space Flight Center comes soon after the resignation of the director of JPL.
AI chatbots remain overconfident—even when they’re wrong, study finds
Artificial intelligence chatbots are everywhere these days, from smartphone apps and customer service portals to online search engines. But what happens when these handy tools overestimate their own abilities?
The Gory Details of Finetuning SDXL and Wasting $16k
Details on how the big diffusion model finetunes are trained is scarce, so just like with version 1, and version 2 of my model bigASP, I’m sharing all the details here to help the community. However, unlike those versions, this version is an experimental side project. And a tumultuous one at that. I’ve kept this …
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Advanced version of Gemini with Deep Think officially achieves gold-medal standard at the International Mathematical Olympiad
Our advanced model officially achieved a gold-medal level performance on problems from the International Mathematical Olympiad (IMO), the world’s most prestigious competition for young mathematicians. It earned a total of 35 points by perfectly solving five out of the six problems.
On Information Geometry and Iterative Optimization in Model Compression: Operator Factorization
The ever-increasing parameter counts of deep learning models necessitate effective compression techniques for deployment on resource-constrained devices. This paper explores the application of information geometry, the study of density-induced metrics on parameter spaces, to analyze existing methods within the space of model compression, primarily focusing on operator factorization. Adopting this perspective highlights the core challenge: …