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
AOL Will Shut Down Dial-Up Internet Access in September
The move will pinch users in rural or remote areas not yet served by broadband infrastructure or satellite internet. Around 175,000 households still use dial-up internet in the US.
Filtered data stops openly-available AI models from performing dangerous tasks, study finds
Researchers from the University of Oxford, EleutherAI, and the UK AI Security Institute have reported a major advance in safeguarding open-weight language models. By filtering out potentially harmful knowledge during training, the researchers were able to build models that resist subsequent malicious updates—especially valuable in sensitive domains such as biothreat…
UltraReal + Nice Girls LoRAs for Qwen-Image
TL;DR — I trained two LoRAs for Qwen-Image: Lenovo: my cross-model realism booster (I port this to every new base; Chroma version coming soon). – https://huggingface.co/Danrisi/Lenovo_Qwen/tree/main Nice Girls: focused on natural, pretty women. – https://huggingface.co/Danrisi/adorablegirls_qwen/tree/main I’m still feeling out Qwen’s generation settings, so results aren’t peak yet. Updates are coming—stay…
How to Interpret Your XGBoost Model: A Practical Guide to Feature Importance
One of the most widespread machine learning techniques is XGBoost (Extreme Gradient Boosting).