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…
edit/fyi: i originally posted this on their official sub, but they literally locked the thread and deleted my post right…
Traditional search engines have historically relied on keyword search.
By Harshad SaneRanker is one of the largest and most complex services at Netflix. Among many things, it powers the personalized…
Large language models (LLMs) perform well on general tasks but struggle with specialized work that requires understanding proprietary data, internal…
The flexibility of Google Cloud allows enterprises to build secure and reliable architecture for their AI workloads. In this blog…