Latest AI News
10 Must-Know Python Libraries for MLOps in 2025
MLOps, or machine learning operations, is all about managing the end-to-end process of building, training, deploying, and maintaining machine learning models.
7 Concepts Behind Large Language Models Explained in 7 Minutes
If you’ve been using large language models like GPT-4 or Claude, you’ve probably wondered how they can write actually usable code, explain complex topics, or…
Interpolation in Positional Encodings and Using YaRN for Larger Context Window
This post is divided into three parts; they are: • Interpolation and Extrapolation in Sinusoidal Encodings and RoPE • Interpolation in Learned Encodings • YaRN…
How to Combine Scikit-learn, CatBoost, and SHAP for Explainable Tree Models
Machine learning workflows often involve a delicate balance: you want models that perform exceptionally well, but you also need to understand and explain their predictions.
OpenAI can rehabilitate AI models that develop a “bad-boy persona”
A new paper from OpenAI has shown why a little bit of bad training can make AI models go rogue—but also demonstrates that this problem…
Toward understanding and preventing misalignment generalization
We study how training on incorrect responses can cause broader misalignment in language models and identify an internal feature driving this behavior—one that can be…
Preparing for future AI risks in biology
Advanced AI can transform biology and medicine—but also raises biosecurity risks. We’re proactively assessing capabilities and implementing safeguards to prevent misuse.
Generative AI to quantify uncertainty in weather forecasting
Posted by Lizao (Larry) Li, Software Engineer, and Rob Carver, Research Scientist, Google Research Accurate weather forecasts can have a direct impact on people’s lives,…
AutoBNN: Probabilistic time series forecasting with compositional bayesian neural networks
Posted by Urs Köster, Software Engineer, Google Research Time series problems are ubiquitous, from forecasting weather and traffic patterns to understanding economic trends. Bayesian approaches…
Computer-aided diagnosis for lung cancer screening
Posted by Atilla Kiraly, Software Engineer, and Rory Pilgrim, Product Manager, Google Research Lung cancer is the leading cause of cancer-related deaths globally with 1.…