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
Open source Virtual Try-On LoRA for Flux Klein 9b Edit, hyper precise
Built an open source LoRA for virtual clothing try-on on top of Flux Klein 9b Edit. https://huggingface.co/fal/flux-klein-9b-virtual-tryon-lora submitted by /u/Affectionate-Map1163 [link] [comments]
Introduction to Small Language Models: The Complete Guide for 2026
AI deployment is changing.
Closing the Gap Between Text and Speech Understanding in LLMs
Large Language Models (LLMs) can be adapted to extend their text capabilities to speech inputs. However, these speech-adapted LLMs consistently underperform their text-based counterparts—and even cascaded pipelines—on language understanding tasks. We term this shortfall the text-speech understanding gap: the performance drop observed when a speech-adapted LLM processes spoken inputs relative…
Build an intelligent photo search using Amazon Rekognition, Amazon Neptune, and Amazon Bedrock
Managing large photo collections presents significant challenges for organizations and individuals. Traditional approaches rely on manual tagging, basic metadata, and folder-based organization, which can become impractical when dealing with thousands of images containing multiple people and complex relationships. Intelligent photo search systems address these challenges by combining computer vision, graph…
















