Google Research Applies Differential Privacy to AI Chatbot Insights
A Google Research framework aims to make it possible to analyze AI chatbot usage patterns without exposing individual user interactions.
Frontier models, research results, agents, and developer tooling.
A Google Research framework aims to make it possible to analyze AI chatbot usage patterns without exposing individual user interactions.
Hugging Face's Diffusers library now supports FLUX-2, giving developers a unified way to run the model.
A practical framework for building LLM evaluation pipelines without overcomplicating them.
DeepMind's AI system has produced a structural model of a protein implicated in heart disease, offering a new tool for understanding its biological role.
The release points to a push for developers to build applications on DeepMind's latest image-generation foundation.
Google Research shows how a lightweight AI model can help drivers find an available EV charging port and reduce range anxiety.
Google Research's NeuralGCM applies AI to improve simulation of long-range global precipitation, a step toward better climate forecasting.
A new blog post details the architecture and methods behind a deep research system that outperforms existing benchmarks.
A Hugging Face explainer walks through how continuous batching improves throughput and latency when serving large language models.
Hugging Face spotlights an integration that promises to cut TRL fine-tuning time by an order of magnitude.
A new evaluation suite from Google DeepMind aims to measure how accurately large language models ground their outputs in provided source documents.
The leaderboard update aims to make automatic speech recognition benchmarks more realistic and inclusive.
A new benchmark from Google Research aims to evaluate AI systems on complex auditory reasoning, not just transcription.
The new swift-huggingface library is described as a comprehensive Swift client for Hugging Face's services.
A new public-private partnership aims to apply advanced AI to U.S. energy and scientific research challenges.
A new explainer from Hugging Face lays out how Open Responses aims to standardise and open up the way AI systems return responses.
A new model from Google Research applies computer vision to wildlife monitoring, pointing toward faster analysis of ecological imagery.
A new Hugging Face and NXP collaboration details how to record datasets, fine-tune vision-language-action models, and optimize them for on-device deployment.