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
Post-Training Generative Recommenders with Advantage-Weighted Supervised Finetuning
Author: Keertana Chidambaram, Qiuling Xu, Ko-Jen Hsiao, Moumita Bhattacharya(*The work was done when Keertana interned at Netflix.)IntroductionThis blog focuses on post-training generative recommender systems. Generative recommenders (GRs) represent a new paradigm in the field of recommendation systems (e.g. HSTU, OneRec). These models draw inspiration from recent advancements in transformer architectures…
When your AI browser becomes your enemy: The Comet security disaster
Remember when browsers were simple? You clicked a link, a page loaded, maybe you filled out a form. Those days feel ancient now that AI browsers like Perplexity’s Comet promise to do everything for you — browse, click, type, think. But here’s the plot twist nobody saw coming: That helpful…
Baseus Inspire XC1 Review: Excellent Open Earbuds
These affordable open buds come with Bose-crafted sound.
DeepMind introduces AI agent that learns to complete various tasks in a scalable world model
Over the past decade, deep learning has transformed how artificial intelligence (AI) agents perceive and act in digital environments, allowing them to master board games, control simulated robots and reliably tackle various other tasks. Yet most of these systems still depend on enormous amounts of direct experience—millions of trial-and-error interactions—to…