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
Guardrails at the gateway: Securing AI inference on GKE with Model Armor
Enterprises are rapidly moving AI workloads from experimentation to production on Google Kubernetes Engine (GKE), using its scalability to serve powerful inference endpoints. However, as these models handle increasingly sensitive data, they introduce unique AI-driven attack vectors — from prompt injection to sensitive data leakage — that traditional firewalls aren’t…
OpenAI Backs Bill That Would Limit Liability for AI-Enabled Mass Deaths or Financial Disasters
The ChatGPT-maker testified in favor of an Illinois bill that would limit when AI labs can be held liable—even in cases where their products cause “critical harm.”
Compression technique makes AI models leaner and faster while they’re still learning
Training a large artificial intelligence model is expensive, not just in dollars, but in time, energy, and computational resources. Traditionally, obtaining a smaller, faster model either requires training a massive one first and then trimming it down, or training a small one from scratch and accepting weaker performance.
Built a tool for anyone drowning in huge image folders: HybridScorer
Drowning in huge image folders and wasting hours manually sorting keepers from rejects? I built HybridScorer for exactly that pain. It’s a local GPU app that helps score big image sets by prompt match or aesthetic quality, then lets you quickly fix edge cases yourself and export clean selected /…