Gemini 2.5: Updates to our family of thinking models
Today we are excited to share updates across the board to our Gemini 2.5 model family:Gemini 2.5 Pro is generally ...
Tag: Models
Our most capable open models to date
At the edge, our E2B and E4B models redefine on-device utility, prioritizing multimodal capabilities, low-latency processing and seamless ecosystem integration ...
Kaggle Game Arena evaluates AI models through games
Current AI benchmarks are struggling to keep pace with modern models. As helpful as they are to measure model performance ...
Everything You Need to Know About Recursive Language Models
In this article, you will learn what recursive language models are, why they matter for long-input reasoning, and how they ...
The 2026 Time Series Toolkit: 5 Foundation Models for Autonomous Forecasting
The 2026 Time Series Toolkit: 5 Foundation Models for Autonomous ForecastingImage by Author Introduction Most forecasting work involves building custom ...
A Beginner’s Reading List for Large Language Models for 2026
In this article, you will learn how to build a beginner-friendly 2026 reading plan for large language models (LLMs), from ...
Our most capable open models for health AI development
Healthcare is increasingly embracing AI to improve workflow management, patient communication, and diagnostic and treatment support. It’s critical that these ...
T5Gemma: A new collection of encoder-decoder Gemma models
In the rapidly evolving landscape of large language models (LLMs), the spotlight has largely focused on the decoder-only architecture. While ...
5 Ways to Use Cross-Validation to Improve Time Series Models
In this article, you will learn five practical cross-validation patterns that make time series evaluation realistic, leak-resistant, and deployment-ready. Topics ...
Evaluating Perplexity on Language Models
A language model is a probability distribution over sequences of tokens. When you train a language model, you want to ...
