AI has made it easier than ever for student developers to work efficiently, tackle harder problems, and pursue ambitious projects.…
We introduce exclusive self attention (XSA), a simple modification of self attention (SA) that improves Transformer’s sequence modeling performance. The…
Video content is now everywhere, from security surveillance and media production to social platforms and enterprise communications. However, extracting meaningful…
The explosion of large language models (LLMs) has increased demand for high-performance accelerators like GPUs and TPUs. As organizations scale…
A new tomato-picking robot is learning to think before it acts. Instead of simply identifying ripe fruit, it predicts how…
Large Language Models (LLMs) often lack meaningful confidence estimates for their outputs. While base LLMs are known to exhibit next-token…
Industrial and defense environments generate massive amounts of data that can’t wait for the cloud. Latency is often measured in…
Valentin Geffrier, Tanguy CornuauEach year, we bring the Analytics Engineering community together for an Analytics Summit — a multi-day internal conference to share…
Deploying large language models (LLMs) for inference requires reliable GPU capacity, especially during critical evaluation periods, limited-duration production testing, or…
At Google Cloud, serving the massive-scale needs of large foundation model builders and AI-native companies is at the forefront of…