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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Looneytunes background style for ZIT
So, only seven months after the SDXL version, here’s a civitai link to the Z-Image Turbo version of my Looneytunes Background LoRA. Previously: SDXL version SD1.5 version I have to say, I still like the SD1.5 version a whole lot; I feel it matches the more abstract art style better.…
Local Mechanisms of Compositional Generalization in Conditional Diffusion
Conditional diffusion models appear capable of compositional generalization, i.e., generating convincing samples for out-of-distribution combinations of conditioners, but the mechanisms underlying this ability remain unclear. To make this concrete, we study length generalization, the ability to generate images with more objects than seen during training. In a controlled CLEVR setting…
Connecting Agents to Decisions
The Palantir Ontology Palantir’s software powers real-time, human-agent decision-making in many of the most critical commercial and government contexts around the world. From disaster response to nuclear energy production, our customers depend on Palantir AIP to safely, securely, and effectively leverage AI in their enterprises — and drive operational transformation. While many factors…