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
Dynamically Splitting Wide Partitions in Cassandra for Time Series Workloads
By Rajiv Shringi, Kaidan Fullerton, Oleksii Tkachuk and Kartik SathyanarayananIntroductionNetflix’s TimeSeries Abstraction is a scalable system for ingesting and querying petabytes of temporal event data with millisecond latency. We use Apache Cassandra 4.x as the underlying storage for these main reasons:Throughput, latency, and cost: Cassandra can handle millions of low‑latency reads…
The art and science of hyperparameter optimization on Amazon Nova Forge
Large language models (LLMs) deliver strong results on general tasks, but they often struggle with specialized work that requires understanding proprietary data, internal processes, or domain-specific terminology. Amazon Nova Forge addresses this by enabling you to build your own frontier models using Amazon Nova. You can start development from early…
Palantir Contracts Have Become ‘An Unacceptable Point of Weakness,’ UK Politicians Warn
A government committee says that the country’s growing dependence on the data analytics company is a serious liability.
LLMs help robots understand vague instructions and focus on key details
Imagine working at a warehouse or office sometime in the near future, and you’re asked to help a new trainee learn the basics of their job. The catch: It’s a robot. To teach them, you might want to play a game of “show and tell”—that is, physically showing how to…