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
Foundation AI models trained on physics, not words, are driving scientific discovery
While popular AI models such as ChatGPT are trained on language or photographs, new models created by researchers from the Polymathic AI collaboration are trained using real scientific datasets. The models are already using knowledge from one field to address seemingly completely different problems in another.
LTX-2 Image-to-Video Adapter LoRA
https://huggingface.co/MachineDelusions/LTX-2_Image2Video_Adapter_LoRa A high-rank LoRA adapter for LTX-Video 2 that substantially improves image-to-video generation quality. No complex workflows, no image preprocessing, no compression tricks — just a direct image embedding pipeline that works. What This Is Out of the box, getting LTX-2 to reliably infer motion from a single image requires…
Leveling Up Your Machine Learning: What To Do After Andrew Ng’s Course
Finishing Andrew Ng’s machine learning course
The AI Evolution of Graph Search at Netflix
The AI Evolution of Graph Search at Netflix: From Structured Queries to Natural Language By Alex Hutter and Bartosz Balukiewicz Our previous blog posts (part 1, part 2, part 3) detailed how Netflix’s Graph Search platform addresses the challenges of searching across federated data sets within Netflix’s enterprise ecosystem. Although highly…