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
Closed-source AI hate is understandable, but local AI has nothing that should concern AI haters
Let’s face it, AI is forbidden to be praised or used in pretty much any online community outside of AI-focused sites without mass anger and vitriol in said communities. the same old strawman takes and insults show up pretty much every time someone posts an ai-generated image/video on other subreddits.…
Building AI Agents with Local Small Language Models
The idea of building your own AI agent used to feel like something only big tech companies could pull off.
ParaRNN: Large-Scale Nonlinear RNNs, Trainable in Parallel
Recurrent Neural Networks (RNNs) are naturally suited to efficient inference, requiring far less memory and compute than attention-based architectures, but the sequential nature of their computation has historically made it impractical to scale up RNNs to billions of parameters. A new advancement from Apple researchers makes RNN training dramatically more…
Amazon Quick for marketing: From scattered data to strategic action
Imagine the following scenario: You’re leading marketing campaigns, creating content, or driving demand generation. Your campaigns are scattered and your insights are buried. By the time you’ve pieced together what’s working, the moment to act has already passed. This isn’t a tools problem because you have plenty of those. It’s…