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
Viggle Remake: open weights for recasting / editing whole videos.
Weights: https://huggingface.co/Viggle/Viggle-Remake App: https://viggle.ai/meme/app/home?ui=v2 Post: https://x.com/ViggleAI/status/2118012913793290414 We just released Viggle Remake on Hugging Face: open weights for recasting people and editing scenes in existing videos, keeping the original motion, camera and soundtrack. Viggle Remake is built agent-first. We also ship an MCP server, so an agent (Claude Code, codex, …)…
How to Train Your own Decision Model like Jev using Unsloth
In this article, you will learn how to turn an open-weight language model into a decision model that classifies user intent, by fine-tuning Qwen3.5-4B on…
Use decision models with Amazon Bedrock AgentCore Evaluations
Some of the questions you ask when evaluating an agent are narrow and repeatable. Did this response stay on policy? Is this tool call safe to approve? Does this answer match the retrieved context? Decision models answer exactly that kind of question. They take a structured state and a fixed…
The Blue Wave Has Tech Bros Scrambling for Data Centers in Space
After Democrats won big in Texas and other AI infrastructure hot spots on Tuesday, data center enthusiasts looked for comfort in low Earth orbit.