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
How PARTs Assemble into Wholes: Learning the Relative Composition of Images
The composition of objects and their parts, along with object-object positional relationships, provides a rich source of information for representation learning. Hence, spatial-aware pretext tasks have been actively explored in self-supervised learning. Existing works commonly start from a grid structure, where the goal of the pretext task involves predicting the…
Structured outputs on Amazon Bedrock: Schema-compliant AI responses
Today, we’re announcing structured outputs on Amazon Bedrock—a capability that fundamentally transforms how you can obtain validated JSON responses from foundation models through constrained decoding for schema compliance. This represents a paradigm shift in AI application development. Instead of validating JSON responses and writing fallback logic for when they fail,…
How we cut Vertex AI latency by 35% with GKE Inference Gateway
As generative AI moves from experimentation to production, platform engineers face a universal challenge for inference serving: you need low latency, high throughput, and manageable costs. It is a difficult balance. Traffic patterns vary wildly, from complex coding tasks that require processing huge amounts of data, to quick, chatty conversations…
ICE Agent’s ‘Dragging’ Case May Help Expose Evidence in Renee Good Shooting
The government has withheld details of the investigation of Renee Good’s killing—but an unrelated case involving the ICE agent who shot her could force new revelations.