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
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…
Build a serverless AI Gateway architecture with AWS AppSync Events
AWS AppSync Events can help you create more secure, scalable Websocket APIs. In addition to broadcasting real-time events to millions of Websocket subscribers, it supports a crucial user experience requirement of your AI Gateway: low-latency propagation of events from your chosen generative AI models to individual users. In this post,…