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
[Final Update] Anima 2B Style Explorer: 20,000+ Danbooru Artists, Swipe Mode, and Uniqueness Rank
Thanks for the feedback and ideas on my previous posts! This is the final feature-complete release of the Style Explorer. What’s new: 20,000+ Danbooru Artist Previews: Massive library expansion covering a vast majority of the artist styles known to the model. Swipe Mode: A distraction-free, one-by-one browsing mode. If your…
Mount Mayhem at Netflix: Scaling Containers on Modern CPUs
Authors: Harshad Sane, Andrew Halaney Imagine this — you click play on Netflix on a Friday night and behind the scenes hundreds of containers spring to action in a few seconds to answer your call. At Netflix, scaling containers efficiently is critical to delivering a seamless streaming experience to millions of members worldwide.…
X Is Drowning in Disinformation Following US and Israel’s Attack on Iran
WIRED has reviewed hundreds of posts on X that promote misleading claims about the locations and scale of the attack.
Don’t panic: ‘Humanity’s last exam’ has begun
When artificial intelligence systems began acing long-standing academic assessments, researchers realized they had a problem: the tests were too easy. Popular evaluations, such as the Massive Multitask Language Understanding (MMLU) exam, once considered formidable, are no longer challenging enough to meaningfully test advanced AI systems.