AI content generation is about feeding your AI models with semantic and contextual information. The result is a platform that can ‘understand’ what an item is, and how it should be used. AI creates content using semantic knowledge in any form of content including video, 3d, VR and more.
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Latest Artificial Intelligence Content News
Implementing Statistical Guardrails for Non-Deterministic Agents
Non-deterministic agents are those where the same input can lead to distinct outputs across multiple runs.
Stochastic KV Routing: Enabling Adaptive Depth-Wise Cache Sharing
Serving transformer language models with high throughput requires caching Key-Values (KVs) to avoid redundant computation during autoregressive generation. The memory footprint of KV caching is significant and heavily impacts serving costs. This work proposes to lessen these memory requirements. While recent work has largely addressed KV cache reduction via compression…
How Hapag-Lloyd uses Amazon Bedrock to transform customer feedback into actionable insights
Hapag-Lloyd stands as one of the world’s leading liner shipping companies, operating a modern fleet of 313 container ships with a total transport capacity of 2.5 million TEU (Twenty-foot Equivalent Unit—a standard unit of measurement for cargo capacity in container shipping). The company maintains a container capacity of 3.7 million…
Five must-have guides to move agents into production with Gemini Enterprise Agent Platform
Building AI agents that work well in a demo is one thing, but running them in production requires serious infrastructure. At Google Cloud Next ’26, we introduced Gemini Enterprise Agent Platform to help developers build, deploy, scale, govern, and optimize autonomous AI agents. From managing long-running state and enforcing security…