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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All in one WAN 2.2 model merges: 4-steps, 1 CFG, 1 model speeeeed (both T2V and I2V)
I made up some WAN 2.2 merges with the following goals: WAN 2.2 features (including “high” and “low” models) 1 model Simplicity by including VAE and CLIP Accelerators to allow 4-step, 1 CFG sampling WAN 2.1 lora compatibility … and I think I got something working kinda nicely. Basically, the…
Implementing Advanced Feature Scaling Techniques in Python Step-by-Step
In this article, you will learn: • Why standard scaling methods are sometimes insufficient and when to use advanced techniques.
AlphaEarth Foundations helps map our planet in unprecedented detail
New AI model integrates petabytes of Earth observation data to generate a unified data representation that revolutionizes global mapping and monitoring
Automate the creation of handout notes using Amazon Bedrock Data Automation
Organizations across various sectors face significant challenges when converting meeting recordings or recorded presentations into structured documentation. The process of creating handouts from presentations requires lots of manual effort, such as reviewing recordings to identify slide transitions, transcribing spoken content, capturing and organizing screenshots, synchronizing visual elements with speaker notes,…