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
Why faster AI isn’t always better
In the race to make AI models not just reason better but respond faster, latency—the delay before an answer appears—is often treated as a purely technical constraint, something to minimize and move past. But how is this relentless push for speed actually impacting the people using these systems every day?
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…