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
New fire just dropped: ComfyUI-CacheDiT ⚡
ComfyUI-CacheDiT brings 1.4-1.6x speedup to DiT (Diffusion Transformer) models through intelligent residual caching, with zero configuration required. https://github.com/Jasonzzt/ComfyUI-CacheDiT https://github.com/vipshop/cache-dit https://cache-dit.readthedocs.io/en/latest/ “Properly configured (default settings), quality impact is minimal: Cache is only used when residuals are similar between steps Warmup phase (3 steps) establishes stable baseline Conservative skip intervals prevent artifacts”…
A Beginner’s Reading List for Large Language Models for 2026
The large language models (LLMs) hype wave shows no sign of fading anytime soon: after all, LLMs keep reinventing themselves at a rapid pace and transforming the industry as a whole.
How Clarus Care uses Amazon Bedrock to deliver conversational contact center interactions
This post was cowritten by Rishi Srivastava and Scott Reynolds from Clarus Care. Many healthcare practices today struggle with managing high volumes of patient calls efficiently. From appointment scheduling and prescription refills to billing inquiries and urgent medical concerns, practices face the challenge of providing timely responses while maintaining quality…
Build intelligent employee onboarding with Gemini Enterprise
Employee onboarding is rarely a linear process. It’s a complex web of dependencies that vary significantly based on an individual’s specific profile. For example, even a simple request for a laptop requires the system to cross-reference the employee’s role, function, and seniority level to determine whether they need a high-powered…