LLMs & Texto

How we used Gemini to build Google I/O 2026

Learn how Googlers used AI to produce Google I/O 2026.

Introducing Mellum2: A 12B Mixture-of-Experts Model by JetBrains

Beyond LLMs: Why Scalable Enterprise AI Adoption Depends on Agent Logic

Take our I/O 2026 quiz, vibe coded in Google AI Studio.

We used Google AI Studio to vibe code a quiz about our top I/O 2026 announcements.

9 demos of Gemini Omni and Gemini 3.5 in action

Watch 9 videos showing the capabilities of Gemini Omni and Gemini 3.5, announced at Google I/O 2026.

Profiling in PyTorch (Part 1): A Beginner's Guide to torch.profiler

A New Era of Discovery: Google Research at I/O 2026

General Science

ibm-research/AssetOpsBench

Dataset em destaque no Hugging Face — 920 downloads. AssetOpsBench AssetOpsBench is a specialized benchmark designed for evaluating Large Language Models (LLMs) and Multi-Agent systems in industrial oper…

Data Formulator 0.7: AI-powered data analytics for enterprise data

Data Formulator introduces AI-powered analytics for enterprise data workflows. Data teams can easily bring enterprise data into an AI-ready workspace where users can explore, analyze, and visualize data with AI agents to turn raw data into actionable insights. The post Data Formulator 0.7: AI-powered data analytics for enterprise data appeared first on Microsoft Research .

Catch up on 12 major I/O 2026 moments

Here are 12 of the biggest Google I/O 2026 keynote moments, including news about Gemini Omni, Gemini 3.5 Flash and more.

openbmb/Ultra-FineWeb-L3

Dataset em destaque no Hugging Face — 90.3 mil downloads. Ultra-FineWeb-L3 📜 Ultra-FineWeb Technical Report | 📦 UltraData Collection | 🌐 UltraData | 🤗 MiniCPM5 Series English | 中文 📚 Introdu…

Private analytics via zero-trust aggregation

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