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
Batch write and discover records in Amazon SageMaker Feature Store
Amazon SageMaker Feature Store is a fully managed, purpose-built repository to store, share, and manage features for machine learning (ML) models. It provides low-latency online serving for real-time inference, an offline store for historical retention and training feature data, and supports both streaming and batch ingestion patterns. As ML platforms…
Nvidia CEO Jensen Huang Took a Call From Donald Trump in the Middle of an All-Hands
The unexpected interruption came hours before the president wrote a congratulatory post on Truth Social about the company’s most recent earnings report.
Shared-memory AI system lets microscope components coordinate in real time
Arco Bast studies how neurons communicate. Earlier this year, the Janelia postdoc encountered a more mechanical version of the same problem: The components of his custom microscope could not easily communicate with one another.
From Preferences to Principles: Rubric-Based Alignment for Grounded Knowledge Answers
Designing effective reward signals for open-domain question answering is challenging because high-quality responses must simultaneously satisfy multiple aspects of answer quality that are difficult to capture with a holistic scalar objective. We introduce a rubric-based reward framework that generates query-specific rubrics grounded in retrieved evidence and decomposed into multiple quality…
















