Unlike fully structured tabular data, preparing text data for machine learning models typically entails tasks like tokenization, embeddings, or sentiment…
Understanding the behavior of complex machine learning systems, particularly Large Language Models (LLMs), is a critical challenge in modern artificial…
An encoder (optical system) maps objects to noiseless images, which noise corrupts into measurements. Our information estimator uses only these…
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…